{"id":"W1552308311","doi":"10.1002/jbmr.2177","title":"First Mouse Model for Combined Osteogenesis Imperfecta and Ehlers-Danlos Syndrome","year":2014,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Muscular Dystrophy Canada; Heart and Stroke Foundation; Hospital for Sick Children; SickKids Foundation; University of Toronto; Toronto Centre for Phenogenomics; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Osteogenesis imperfecta; Type I collagen; Osteoblast; Chemistry; Ehlers–Danlos syndrome; Bone resorption; Stromal cell; Endocrinology; Internal medicine; Bone mineral; Molecular biology; Anatomy; Osteoporosis; Biology; Pathology; In vitro; Biochemistry; Medicine","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":[0.0008568607,0.003298129,0.001586679,0.003514862,0.001574507,0.001036042,0.00168984,0.00310343,0.01461907],"category_scores_gemma":[0.0003788294,0.001441689,0.001287276,0.001235107,0.001331479,0.0009893874,0.001228016,0.003540471,0.005634672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009709478,"about_ca_system_score_gemma":0.0006243938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213921,"about_ca_topic_score_gemma":0.002294435,"domain_scores_codex":[0.9983875,0.0001867611,0.000251109,0.0005268502,0.0004075877,0.0002402315],"domain_scores_gemma":[0.9988173,0.0001478712,0.0003517838,0.0001991463,0.0001278788,0.0003560426],"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":[0.001578817,0.001617114,0.001424701,0.0003028758,0.0001299252,0.003084026,0.0002786673,0.0003211563,0.9770423,0.002925877,0.002270025,0.009024506],"study_design_scores_gemma":[0.002148374,0.009828477,0.02664242,0.0005455885,0.0006350064,0.03601449,0.0008246858,0.004523866,0.7377622,0.003797022,0.1770492,0.0002286622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143351,0.006596513,0.03089168,0.002872844,0.0009918293,0.001780674,0.02475434,0.003027538,0.01474938],"genre_scores_gemma":[0.759794,0.008406832,0.06733181,0.002194992,0.0003746948,0.00452596,0.02377004,0.001525589,0.1320761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01461907,"threshold_uncertainty_score":0.04890573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04275972138504321,"score_gpt":0.3386577890480136,"score_spread":0.2958980676629704,"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."}}