{"id":"W4400248046","doi":"10.1007/s11657-024-01415-1","title":"Effects of differences in dose and frequency of teriparatide on bone structure in Proximal Femur. – Analysis by DXA-based 3D-modeling (3D-SHAPER Software) –TRIPLE-BONE study (The effects of TeRIParatide preparation on bone mineraL density increase and BONE structure)","year":2024,"lang":"en","type":"article","venue":"Archives of Osteoporosis","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Osteoporosis Canada","funders":"","keywords":"Teriparatide; Medicine; Osteoporosis; Femur; Orthopedic surgery; Bone health; Bone Density Conservation Agents; Orthodontics; Bone density; Bone mineral; Internal medicine; Surgery","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":[0.0006264673,0.0002378545,0.0003871001,0.0001833026,0.0001049102,0.0001504188,0.0002209061,0.0004267746,0.001761994],"category_scores_gemma":[0.0007816718,0.0002576976,0.0004123657,0.0001482002,0.0003436345,0.000248597,0.0001858552,0.0006747234,0.0002172043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003929,"about_ca_system_score_gemma":0.0001713046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000602144,"about_ca_topic_score_gemma":0.0006417808,"domain_scores_codex":[0.9993736,0.0002649353,0.00004125672,0.0001144424,0.0001239043,0.00008192712],"domain_scores_gemma":[0.999015,0.0004996854,0.0001579257,0.0001438432,0.00006969918,0.0001138736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.05372281,0.001303445,0.003376811,0.00008215296,0.0001159575,0.00009662497,0.00007663255,0.000453946,0.9289641,0.00004738208,0.00008389111,0.01167621],"study_design_scores_gemma":[0.001540498,0.08992799,0.1362819,0.00001442802,0.0004159239,0.0008251835,0.0002175581,0.003485943,0.7655918,0.000147975,0.00151397,0.00003678762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998381,0.0004594611,0.0006933779,0.00002708808,0.00001735687,0.00002791929,0.0001010439,0.00001187926,0.0002808592],"genre_scores_gemma":[0.9975217,0.0002673898,0.001003295,0.00003759008,0.00002688644,0.00006002274,0.0001351566,0.00001406349,0.0009338013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001761994,"threshold_uncertainty_score":0.005894482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009583301190503468,"score_gpt":0.2845133803627564,"score_spread":0.2749300791722529,"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."}}