{"id":"W1993286654","doi":"10.1016/j.jocd.2014.04.038","title":"Is Central Quantitative Computed Tomography (QCT) Superior to Dual Energy X-ray Absorptiometry (DXA) for Fracture Risk Assessment in Postmenopausal Women? A Systematic Review and Meta-Analysis","year":2014,"lang":"en","type":"review","venue":"Journal of Clinical Densitometry","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Quantitative computed tomography; Postmenopausal women; Meta-analysis; Dual-energy X-ray absorptiometry; Fracture (geology); Nuclear medicine; Bone density; Osteoporosis; Internal medicine; Bone mineral; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01510691,0.0008476492,0.02755638,0.005240245,0.0001124113,0.0001342773,0.0004260553,0.0009067548,0.0001968608],"category_scores_gemma":[0.009826991,0.000513259,0.006912419,0.006449565,0.0001493015,0.0001462535,0.0001594825,0.002899363,0.000009788841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003702805,"about_ca_system_score_gemma":0.00138382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004301705,"about_ca_topic_score_gemma":0.00001798446,"domain_scores_codex":[0.9836847,0.003844799,0.008705318,0.0008990467,0.001829216,0.001036918],"domain_scores_gemma":[0.9774594,0.01267279,0.005043644,0.0008810533,0.001734622,0.00220843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.000454677,0.001159521,0.001055874,0.7800298,0.2095199,0.0002645532,0.00009111569,0.000004151957,4.084483e-7,0.00002194962,0.002574712,0.004823261],"study_design_scores_gemma":[0.00220296,0.008418615,0.005438659,0.05368463,0.8669325,0.0003355817,0.0001395828,0.0001106623,2.618431e-7,0.00002600754,0.06203472,0.0006757849],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008125825,0.9905992,0.002959654,0.001509268,0.0002861227,0.003488149,0.0003252155,0.0000135454,0.00000630043],"genre_scores_gemma":[0.003577086,0.9782543,0.008092239,0.009212655,0.0003632001,0.0002542025,0.00006969745,0.00008900798,0.00008763588],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7263452,"threshold_uncertainty_score":0.9997319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1335496535890044,"score_gpt":0.514045040591906,"score_spread":0.3804953870029016,"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."}}