{"id":"W2921010571","doi":"10.1200/jco.2015.33.15_suppl.574","title":"A combined screening approach of Fracture (Fx) Risk Algorithm (FRAX) and Trabecular Bone Score (TBS) to identify osteoporotic-range fracture risk (ORFR) in breast cancer (BC) patients treated with adjuvant aromatase inhibitor (AI).","year":2015,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Bone health and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"FRAX; Medicine; Osteoporosis; Bone mineral; Trabecular bone score; Internal medicine; Breast cancer; Cancer; Osteoporotic fracture; Quantitative computed tomography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001426583,0.0004462629,0.0006027587,0.001584974,0.0002705364,0.0004271128,0.0004172163,0.0003352434,0.000976762],"category_scores_gemma":[0.002886999,0.0002107247,0.0005791268,0.0009359577,0.0001288484,0.0003076873,0.0005689654,0.0003334297,0.0002290297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004074519,"about_ca_system_score_gemma":0.0009858415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005151973,"about_ca_topic_score_gemma":0.01625214,"domain_scores_codex":[0.9992248,0.0002576959,0.0001077894,0.0001465284,0.0002093171,0.00005394454],"domain_scores_gemma":[0.9988893,0.0002365429,0.0004005567,0.00005687353,0.0002922186,0.0001245884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000809807,0.0001342722,0.971929,0.00003678388,0.0001184994,0.00007224593,0.00004127303,0.0003997991,0.0004645689,0.00002289825,0.0003728865,0.02559805],"study_design_scores_gemma":[0.0001824337,0.001447291,0.9874749,0.00004342355,0.0003155552,0.001318096,0.0001049008,0.008000124,0.0004793222,0.00006763005,0.0005539778,0.00001242974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924333,0.001272766,0.002921733,0.0002029313,0.00001972066,0.000472303,0.001100481,0.00006874986,0.001507973],"genre_scores_gemma":[0.988917,0.0003250788,0.009081902,0.00006857111,0.00002836176,0.0002430774,0.0009325711,0.000006811445,0.0003966011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005151973,"threshold_uncertainty_score":0.01024401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05091277744907768,"score_gpt":0.4025175548945761,"score_spread":0.3516047774454985,"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."}}