{"id":"W4400641287","doi":"10.1016/s2666-7568(24)00062-x","title":"Time from injury to hip-fracture surgery in low-income and middle-income regions: a secondary analysis of data from the International Orthopaedic Multicentre Study in Fracture Care (INORMUS)","year":2024,"lang":"en","type":"article","venue":"The Lancet Healthy Longevity","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Medical Research Council; National Institutes of Health; National Health and Medical Research Council; McMaster University; Canadian Institutes of Health Research; Hamilton Health Sciences","keywords":"Hip fracture; Medicine; Middle income; Low income; Low and middle income countries; Injury prevention; Physical therapy; Poison control; Surgery; Emergency medicine; Osteoporosis; Developing country; Economics; Internal medicine; Socioeconomics; Demographic economics","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":[0.001490791,0.0002906212,0.001161588,0.0004573138,0.00008632601,0.0000682829,0.0007587026,0.0001870431,0.0004867117],"category_scores_gemma":[0.0005349272,0.0001702042,0.0001473126,0.001156285,0.0001044027,0.0002467605,0.0004098983,0.001315985,0.00002833172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053094,"about_ca_system_score_gemma":0.0003599989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01243646,"about_ca_topic_score_gemma":0.03736205,"domain_scores_codex":[0.9970603,0.0005185012,0.0007323418,0.0007338415,0.0005693572,0.0003856628],"domain_scores_gemma":[0.9950446,0.002860806,0.0001854603,0.001656295,0.00007705929,0.0001757544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001891112,0.0002494754,0.9616613,0.0002923858,0.0008818952,0.0002242742,0.02679378,0.00008909583,0.00001299113,0.000001410438,0.00225932,0.005642977],"study_design_scores_gemma":[0.001002329,0.00007261391,0.98723,0.001122993,0.0006044333,0.000003016112,0.003879574,0.002276132,0.000007384797,0.00006464403,0.003574559,0.0001623207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622263,0.01035811,0.00002131178,0.02378582,0.0002710045,0.001031762,0.002216604,0.00005307668,0.0000360213],"genre_scores_gemma":[0.9884824,0.0007468909,0.0000813728,0.008383566,0.0007719105,0.0000319643,0.001451929,0.00002799692,0.00002203637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02625604,"threshold_uncertainty_score":0.9941398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04812408948704194,"score_gpt":0.3460572305402125,"score_spread":0.2979331410531706,"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."}}