{"id":"W4287922681","doi":"10.1002/jbmr.4664","title":"Telomere Length and Risk of Incident Fracture and Arthroplasty: Findings From UK Biobank","year":2020,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"UK Dementia Research Institute; Medical Research Council Canada; University of Oxford; Imperial College London; Bupa Foundation; National Institute for Health and Care Research; Royal Osteoporosis Society; University of Southampton; Medical Research Council; AGE-WELL; NIHR Oxford Biomedical Research Centre; Wellcome Trust; British Heart Foundation; University Hospital Southampton NHS Foundation Trust","keywords":"Medicine; Hazard ratio; Confidence interval; Confounding; Hip fracture; Osteoporosis; Proportional hazards model; Internal medicine; Arthroplasty; Women's Health Initiative; Surgery; Postmenopausal women","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002839049,0.0003801901,0.0006234358,0.001431195,0.0004092923,0.001009398,0.0006491733,0.0008950419,0.001835416],"category_scores_gemma":[0.0144937,0.0005797225,0.0005766021,0.002838166,0.0004126529,0.0007153606,0.00138026,0.0006455295,0.0003794196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005586463,"about_ca_system_score_gemma":0.0003684012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03023068,"about_ca_topic_score_gemma":0.02237817,"domain_scores_codex":[0.9968515,0.001296408,0.0005357193,0.0005470143,0.0005835116,0.000185955],"domain_scores_gemma":[0.9876396,0.002321909,0.007332954,0.0009616427,0.001233304,0.0005106262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001900473,0.0000151377,0.9972608,0.00003552131,0.0001283971,0.00006389368,0.0003356269,0.00004171785,0.0001728898,0.00002069078,0.000183189,0.001552041],"study_design_scores_gemma":[0.00001625847,0.0000546337,0.99926,0.00001883213,0.00004308843,0.0001353583,0.00009278618,0.0001041053,0.00003032448,0.00001394113,0.0002244185,0.000006184763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99644,0.001287101,0.0002449027,0.0001155226,0.000008734121,0.00001571031,0.001593032,0.000003980004,0.0002908467],"genre_scores_gemma":[0.9976047,0.0005420893,0.0002303268,0.00007793045,0.0000188953,0.00003333326,0.001220436,0.000003893187,0.0002682668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03023068,"threshold_uncertainty_score":0.06010944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04356690153498593,"score_gpt":0.3267163140479,"score_spread":0.2831494125129141,"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."}}