{"id":"W2118842702","doi":"10.1016/j.ajpath.2015.01.006","title":"Osteoprotegerin Protects against Muscular Dystrophy","year":2015,"lang":"en","type":"article","venue":"American Journal Of Pathology","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Österreichischen Akademie der Wissenschaften; Muscular Dystrophy Canada","keywords":"Osteoprotegerin; RANKL; Osteoclast; Medicine; Muscular dystrophy; Skeletal muscle; Osteoporosis; Endocrinology; Internal medicine; Myokine; Muscle atrophy; Receptor; Decoy; Activator (genetics)","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":[0.0002912212,0.0006749809,0.0008625059,0.000387666,0.0003145993,0.0003643988,0.000525236,0.0008348695,0.002336517],"category_scores_gemma":[0.0002439947,0.0002222741,0.000413052,0.000173091,0.0005354244,0.0002940182,0.0004533762,0.001473007,0.0003602073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001813149,"about_ca_system_score_gemma":0.0004611164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006259701,"about_ca_topic_score_gemma":0.001151761,"domain_scores_codex":[0.9998155,0.00003637081,0.00001889691,0.0000267319,0.00003393062,0.000068516],"domain_scores_gemma":[0.9997932,0.000020515,0.00003614517,0.00002457573,0.00001269482,0.0001128751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02644773,0.002540845,0.001383179,0.0003464589,0.0002064772,0.0003683789,0.00007002417,0.0004350988,0.9395058,0.0004678076,0.0007984983,0.02742967],"study_design_scores_gemma":[0.01024461,0.06104003,0.07031738,0.0003555542,0.0008445379,0.001280048,0.0004512924,0.001918423,0.8376886,0.001478493,0.01430608,0.00007513345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931788,0.004096659,0.0005225079,0.0003851559,0.0001907748,0.00004097077,0.0002766167,0.0001412507,0.001167251],"genre_scores_gemma":[0.992834,0.002328054,0.0005471144,0.0002040052,0.00009381816,0.0000559236,0.0005550822,0.00001556471,0.003366313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002336517,"threshold_uncertainty_score":0.007816494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008694734753651637,"score_gpt":0.2383021694825009,"score_spread":0.2296074347288493,"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."}}