{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003032737,0.0001297145,0.000292542,0.00007684353,0.00002628363,0.00001105809,0.0002099655,0.00005583212,0.000004202412],"category_scores_gemma":[0.0002594844,0.0001060751,0.0001463256,0.0001168321,0.0002865255,0.000005376742,0.00007046421,0.0001210652,0.00001078836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009316637,"about_ca_system_score_gemma":0.0002149913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006561277,"about_ca_topic_score_gemma":0.000001315849,"domain_scores_codex":[0.9989628,0.0002192809,0.0002800824,0.0001671919,0.0001568463,0.0002138146],"domain_scores_gemma":[0.9989058,0.000005625741,0.000350396,0.0002470105,0.0002354236,0.00025578],"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":[0.0009509861,0.0002458979,0.003364359,0.00001482251,0.0001176091,0.001556266,0.0002413046,0.000271179,0.8838112,0.00009879095,0.002088255,0.1072393],"study_design_scores_gemma":[0.01445432,0.03369715,0.04547805,0.0001255749,0.0003989638,0.01413947,0.007564681,0.00005078696,0.4916607,0.002216582,0.3879382,0.002275523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946357,0.001554014,0.002866517,0.0001367492,0.0002025754,0.0001004284,0.00000900444,0.000005163352,0.0004898467],"genre_scores_gemma":[0.9945942,0.00008989917,0.004258689,0.0004985674,0.0004726551,0.000008309698,0.000007843275,0.0000184129,0.00005147127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3921505,"threshold_uncertainty_score":0.4325617,"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."}}