{"id":"W2012598798","doi":"10.1210/jc.2004-2235","title":"Tumor Necrosis Factor-α Polymorphism, Bone Strength Phenotypes, and the Risk of Fracture in Older Women","year":2005,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"AXYS Technologies (Canada)","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute on Aging","keywords":"Medicine; Osteoporosis; Bone mineral; Femoral neck; Internal medicine; Hip fracture; Bone density; Genotype; Dual-energy X-ray absorptiometry; Biology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004763796,0.0002820653,0.0004270198,0.0004114223,0.0002233744,0.0004004978,0.0002229903,0.0004982197,0.0007760888],"category_scores_gemma":[0.002043406,0.0002828511,0.0004031807,0.000635743,0.0001848806,0.0001449941,0.000172655,0.0004491619,0.0001710296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320815,"about_ca_system_score_gemma":0.0001087467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004201118,"about_ca_topic_score_gemma":0.003137928,"domain_scores_codex":[0.9997936,0.00007188883,0.00002259784,0.00005009359,0.00003979704,0.00002194667],"domain_scores_gemma":[0.9990525,0.0001753779,0.0004752624,0.00008232931,0.00006622416,0.0001483071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004509331,0.00002302776,0.9975389,0.000009627654,0.0001398323,0.0000978212,0.00002984934,0.00003568127,0.0004444309,0.000007480677,0.00004391655,0.001178553],"study_design_scores_gemma":[0.00002764393,0.0001698775,0.9988754,0.000006409537,0.00009645001,0.0003799876,0.00003007674,0.0002269384,0.00004634364,0.00003235428,0.0001059457,0.000002504177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981961,0.001297473,0.0001027338,0.00005138879,0.00001141419,0.000003247689,0.0001272141,0.000004250113,0.0002061903],"genre_scores_gemma":[0.999289,0.0003359709,0.00007820802,0.00002703673,0.00002173333,0.000003595503,0.00009930605,0.000001151251,0.0001440477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004201118,"threshold_uncertainty_score":0.008353293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02584760490089028,"score_gpt":0.3635952452818759,"score_spread":0.3377476403809856,"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."}}