{"id":"W2300956547","doi":"10.1111/ejh.12581","title":"Optimising musculoskeletal care for patients with haemophilia","year":2015,"lang":"en","type":"review","venue":"European Journal Of Haematology","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Grifols; Novo Nordisk; Biogen; Amgen; Pfizer; Swedish Orphan Biovitrum; CSL Behring","keywords":"Medicine; Haemophilia; Joint replacement; Haemophilia A; Arthropathy; Intensive care medicine; Population; Disease; Arthroplasty; Surgery; Physical therapy; Internal medicine; Osteoarthritis","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":[0.0004832998,0.0005730546,0.0009087927,0.001687305,0.0002445355,0.0008348651,0.0005276637,0.001265603,0.002933236],"category_scores_gemma":[0.001422076,0.0001727658,0.0005648806,0.001188456,0.0002407358,0.0008195107,0.0005746586,0.000913391,0.0009075064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003857217,"about_ca_system_score_gemma":0.001078076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001297243,"about_ca_topic_score_gemma":0.002645435,"domain_scores_codex":[0.9997295,0.00008043605,0.00005841733,0.00002659298,0.00008702563,0.00001808777],"domain_scores_gemma":[0.999656,0.0001823136,0.00006985081,0.000006257532,0.00006620352,0.00001932772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005300391,0.00005761108,0.0003586915,0.04680109,0.0001689977,0.0002958938,0.0001499949,0.0002037727,0.0006840559,0.001404398,0.02041904,0.9294036],"study_design_scores_gemma":[0.00006884576,0.0001671172,0.00512061,0.05444694,0.0005405965,0.006046733,0.0003531244,0.0001262228,0.0004025256,0.001983519,0.930709,0.00003467406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001624248,0.9986615,0.00007526518,0.000346386,0.00008380317,0.000006536274,0.0000127364,0.000004388016,0.0006469591],"genre_scores_gemma":[0.001042435,0.9980776,0.0002915298,0.0002185428,0.00009995996,0.000008120477,0.0000259671,9.424775e-7,0.0002348332],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002933236,"threshold_uncertainty_score":0.009812653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0578026808249217,"score_gpt":0.374179026491592,"score_spread":0.3163763456666703,"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."}}