{"id":"W2941438568","doi":"10.1161/strokeaha.118.024685","title":"Screening and Treatment for Osteoporosis After Stroke","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; University of Toronto","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Medicine; Osteoporosis; Stroke (engine); Bone mineral; Bone density; Hazard ratio; Physical therapy; Incidence (geometry); Hip fracture; Internal medicine; Pharmacotherapy; Emergency medicine; Pediatrics; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004521417,0.000116942,0.0004082673,0.0008442095,0.0005691829,0.0005168683,0.000367475,0.0003775003,0.002707448],"category_scores_gemma":[0.003150693,0.0001104592,0.0003332222,0.001143357,0.0002864665,0.0002147626,0.000244508,0.0004844497,0.0002249648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001781539,"about_ca_system_score_gemma":0.004428105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1507706,"about_ca_topic_score_gemma":0.3191916,"domain_scores_codex":[0.9991359,0.0001484914,0.0000794388,0.00006175894,0.0004100531,0.0001642943],"domain_scores_gemma":[0.998602,0.000163749,0.0006331257,0.00003531749,0.0002334176,0.0003325135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001196364,0.0002063825,0.9288117,0.000187619,0.0001021735,0.0002062794,0.0001407356,0.0001065915,0.0001306645,0.000170387,0.003727009,0.06609089],"study_design_scores_gemma":[0.00002367096,0.0001055596,0.9950177,0.0001820866,0.00005093386,0.0005288933,0.0001105203,0.0002072499,0.00006557575,0.0001715598,0.003530356,0.00000590211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9216387,0.033164,0.0007811587,0.01324338,0.0002573048,0.0003080657,0.006074377,0.00007035221,0.02446269],"genre_scores_gemma":[0.9866822,0.00861264,0.0006418595,0.0007545458,0.0001620066,0.00005845451,0.001457766,0.000003256009,0.001627264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1507706,"threshold_uncertainty_score":0.2997862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078481326935233,"score_gpt":0.3279071859620238,"score_spread":0.2971223726926714,"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."}}