{"id":"W2330990991","doi":"10.1038/sj.bmt.1703149","title":"Decreased bone mineral density is common after autologous blood or marrow transplantation","year":2001,"lang":"en","type":"article","venue":"Bone Marrow Transplantation","topic":"Bone and Joint Diseases","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Connaught Fund; University of Toronto; University Health Network","keywords":"Medicine; Osteopenia; Bone mineral; Femoral neck; Osteoporosis; Bone density; Body mass index; Incidence (geometry); Surgery; Internal medicine; Transplantation","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":[0.0004805026,0.0002525638,0.000822433,0.001127598,0.0005192945,0.0005527613,0.0004563918,0.0010452,0.002611706],"category_scores_gemma":[0.0031186,0.0001768628,0.0004044728,0.001380009,0.0005772147,0.0003148063,0.0003637931,0.000855264,0.0005893708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002750448,"about_ca_system_score_gemma":0.0003853778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001557655,"about_ca_topic_score_gemma":0.002338697,"domain_scores_codex":[0.9994006,0.0001023638,0.0000748879,0.00006908017,0.0002319701,0.0001209828],"domain_scores_gemma":[0.9969536,0.0009022839,0.001365988,0.0001567851,0.0002485797,0.0003726627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002101545,0.0004496347,0.861539,0.0004233394,0.0002156985,0.06067543,0.000240835,0.0001992925,0.01386773,0.0004921238,0.001930468,0.05786487],"study_design_scores_gemma":[0.00005356307,0.0008482816,0.8146663,0.00007184496,0.0001583188,0.1776587,0.0002544226,0.0002435133,0.002330157,0.0005233873,0.003170999,0.0000203926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736816,0.01355333,0.001461801,0.0007437749,0.0001218606,0.00004209526,0.0002785753,0.0001072346,0.01000964],"genre_scores_gemma":[0.9966668,0.001811734,0.0001923984,0.0002388217,0.0001601565,0.000007518741,0.0001993591,0.000007936013,0.0007152715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002611706,"threshold_uncertainty_score":0.008736968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437170574594854,"score_gpt":0.2534382704118244,"score_spread":0.2390665646658759,"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."}}