{"id":"W4396867399","doi":"10.1002/pbc.31047","title":"Predictors of low and very low bone mineral density in long‐term childhood acute lymphoblastic leukemia survivors: Toward personalized risk prediction","year":2024,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shriners Hospitals for Children - Canada; Université de Montréal; Université du Québec à Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Garron Family Cancer Centre; CHU Sainte-Justine Foundation; Pediatric Oncology Group of Ontario; Canadian Cancer Society Research Institute; Cancer Research Society; Canadian Institutes of Health Research; C17 Children's Cancer and Blood Disorders","keywords":"Medicine; Bone mineral; Femoral neck; Cohort; Total body irradiation; Internal medicine; Bone density; Pediatrics; Hematopoietic stem cell transplantation; Body mass index; Osteoporosis; Oncology; Cyclophosphamide; Disease; Chemotherapy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008490026,0.0003549963,0.0004010998,0.0009175045,0.0002094271,0.0007588678,0.0003743537,0.0004135463,0.0006454142],"category_scores_gemma":[0.002667492,0.0001471236,0.0002615891,0.00075707,0.0001539685,0.0002633513,0.0004516452,0.0006608337,0.0001667162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002230792,"about_ca_system_score_gemma":0.000367269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003125018,"about_ca_topic_score_gemma":0.004526923,"domain_scores_codex":[0.9997447,0.00009269009,0.00002352628,0.00004936838,0.00005520366,0.00003457595],"domain_scores_gemma":[0.9991307,0.0003401816,0.0002937835,0.00004374763,0.00008700329,0.0001046773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007452696,0.0000190983,0.9951445,0.000007524035,0.00002740186,0.00002000006,0.00001957451,0.0003055582,0.0001205267,0.00002022036,0.0001152358,0.004125874],"study_design_scores_gemma":[0.00001721406,0.0001100925,0.9920182,0.00002435342,0.0001253441,0.0002679054,0.0001643794,0.006221759,0.000296898,0.0003577175,0.0003884154,0.000007826756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960448,0.001028984,0.001546054,0.0003196521,0.000008012138,0.00001809637,0.0006099695,0.00002952127,0.0003949251],"genre_scores_gemma":[0.9984002,0.0002220015,0.000837286,0.00002700246,0.0000133713,0.00001029222,0.0004122192,0.000002476242,0.00007531189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003125018,"threshold_uncertainty_score":0.006213665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0078147257376394,"score_gpt":0.2656254547685199,"score_spread":0.2578107290308805,"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."}}