{"id":"W2036473416","doi":"10.1359/jbmr.2003.18.2.237","title":"Positive Linear Growth and Bone Responses to Growth Hormone Treatment in Children With Types III and IV Osteogenesis Imperfecta: High Predictive Value of the Carboxyterminal Propeptide of Type I Procollagen","year":2003,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shriners Hospitals for Children - Canada","funders":"Core Research for Evolutional Science and Technology; National Institutes of Health","keywords":"Medicine; Endocrinology; Internal medicine; Iliac crest; Osteocalcin; Osteogenesis imperfecta; Bone age; Bone remodeling; Cancellous bone; Type I collagen; Bone density; Procollagen peptidase; Alkaline phosphatase; Surgery; Biology; Osteoporosis; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005943105,0.0004580991,0.0004812672,0.0004490866,0.0003080369,0.0002519899,0.0002789579,0.0004228369,0.0004868917],"category_scores_gemma":[0.00223985,0.000235853,0.0003482007,0.0003808943,0.0004604048,0.000190238,0.0002511842,0.0004337844,0.0001157479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003684182,"about_ca_system_score_gemma":0.0003962891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004572536,"about_ca_topic_score_gemma":0.005444423,"domain_scores_codex":[0.9994617,0.0001797122,0.00005477788,0.00009054372,0.0001290777,0.00008422412],"domain_scores_gemma":[0.9986855,0.0003697413,0.0005834055,0.00004116679,0.00006907447,0.0002511923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001073151,0.0001168022,0.9939423,0.0000235504,0.00003789649,0.0003377678,0.00009299383,0.0001061693,0.001395578,0.000008092549,0.00006713699,0.002798462],"study_design_scores_gemma":[0.00005633971,0.001727957,0.9959952,0.000006862279,0.00003471727,0.001339712,0.0001263107,0.0001528574,0.0004011923,0.00001079034,0.0001439503,0.000004135547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999592,0.000192638,0.00003118268,0.00001383989,0.000001892163,0.000005193056,0.00006962275,0.000002374072,0.00009132775],"genre_scores_gemma":[0.999479,0.00008837773,0.000141146,0.00002126977,0.00000524267,0.00001135118,0.0001854279,0.000001394485,0.00006687696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004572536,"threshold_uncertainty_score":0.009091854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246190539879904,"score_gpt":0.2935114918400811,"score_spread":0.281049586441282,"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."}}