{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001616108,0.0001104232,0.0002521814,0.0002157886,0.0001736762,0.00005021109,0.000123386,0.0001076217,0.00000820828],"category_scores_gemma":[0.001059597,0.00009334817,0.00008485116,0.00009325989,0.0001587897,0.00001135219,0.0001787078,0.0001921354,0.00000105021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001685447,"about_ca_system_score_gemma":0.0001014682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003701388,"about_ca_topic_score_gemma":0.0001416866,"domain_scores_codex":[0.9987339,0.0001200616,0.0002487381,0.0002207103,0.0003206642,0.0003559622],"domain_scores_gemma":[0.9988044,0.0001586135,0.00006811544,0.000173059,0.0005900854,0.0002057118],"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":[0.0009365094,0.0001120146,0.002068326,0.0001557437,0.00009452105,0.00001088904,0.0001363042,0.0001125906,0.9872491,0.000143719,0.005005131,0.003975098],"study_design_scores_gemma":[0.04724726,0.05824665,0.03401559,0.0005866213,0.0002977647,0.003012287,0.002548475,0.328652,0.4307172,0.008456607,0.08360386,0.002615653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953629,0.001808399,0.001283105,0.001160785,0.00001842421,0.0002598838,0.00001609939,0.000001672505,0.0000887007],"genre_scores_gemma":[0.9942049,0.001117023,0.0006171802,0.00004228128,0.00009088728,0.00002030808,0.000008676964,0.0000228821,0.003875827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.556532,"threshold_uncertainty_score":0.3806628,"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."}}