{"id":"W4407338882","doi":"10.54393/pjhs.v6i1.2268","title":"Understanding Fracture Risks in Pakistan's Aging Population: A Meta-Analysis of Risk Factors and Population Variability","year":2025,"lang":"en","type":"article","venue":"Pakistan Journal of Health Sciences","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Population; Medicine; Environmental health; Demography; Internal medicine; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007004166,0.0001442503,0.001251754,0.001189555,0.0002927078,0.00004752729,0.0001115254,0.00007210252,0.00007954755],"category_scores_gemma":[0.0004120349,0.0000900834,0.000357826,0.001933841,0.0001591314,0.0002222734,0.00001741874,0.0003541491,3.590128e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003116335,"about_ca_system_score_gemma":0.000266376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007901867,"about_ca_topic_score_gemma":0.001167927,"domain_scores_codex":[0.9971429,0.0005134052,0.001313228,0.0002359379,0.000567705,0.000226826],"domain_scores_gemma":[0.9974133,0.0009313042,0.001264636,0.000154274,0.0001101472,0.0001263017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004488721,0.00004664139,0.9913349,0.00008133481,0.002081441,0.000002637561,0.001804429,0.003197224,0.000002679872,0.00109214,0.000009423095,0.0003023237],"study_design_scores_gemma":[0.000287065,0.0001126743,0.9773353,0.00005698087,0.009557581,0.000003517765,0.003887125,0.0008780129,0.000007736146,0.007784602,0.00002727489,0.00006212253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707691,0.003615254,0.02276772,0.002385922,0.0001162552,0.0001770238,0.0000198995,0.000006696575,0.0001421018],"genre_scores_gemma":[0.9982267,0.0001387689,0.001310931,0.0002924852,0.00001689362,6.064667e-7,0.000006299218,0.000003424612,0.000003861196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0274576,"threshold_uncertainty_score":0.9987046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1855097096624156,"score_gpt":0.4604612060475828,"score_spread":0.2749514963851671,"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."}}