{"id":"W4389958309","doi":"10.1177/09544119231214651","title":"The effect of femur positioning on dual-energy X-ray absorptiometry (DXA) measures and statistical shape and appearance modeling (SSAM) fracture risk assessments","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Cadaveric spasm; Bone mineral; Femur; Medicine; Hip fracture; Orthodontics; Gold standard (test); Orientation (vector space); Dual energy; Osteoporosis; Dual-energy X-ray absorptiometry; External rotation; Fracture (geology); Rotation (mathematics); Repeated measures design; Nuclear medicine; Radiology; Computer science; Mathematics; Artificial intelligence; Surgery; Statistics; Materials science; Internal medicine; Geometry","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":[0.005176321,0.0005960109,0.0005019907,0.0003815999,0.0002125687,0.0006485374,0.000326801,0.0003991417,0.001038672],"category_scores_gemma":[0.02373801,0.0004027704,0.0004406623,0.0004285327,0.0006528271,0.000290048,0.0005667601,0.0003334491,0.0003063187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002884521,"about_ca_system_score_gemma":0.0002935424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201653,"about_ca_topic_score_gemma":0.001850268,"domain_scores_codex":[0.9944832,0.003038195,0.0004598131,0.0007579909,0.001084349,0.0001764061],"domain_scores_gemma":[0.9791232,0.01472213,0.002495822,0.002078585,0.001216117,0.0003641511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01976231,0.0005748666,0.4422253,0.000481199,0.0005785,0.0007273241,0.001357298,0.01202824,0.3644616,0.0001782839,0.0004390226,0.1571859],"study_design_scores_gemma":[0.00006200621,0.01288727,0.9404004,0.00003039135,0.0002521771,0.0008277405,0.0003028483,0.006477114,0.0378598,0.0001185504,0.0007241112,0.00005753186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902293,0.0005526313,0.008262768,0.0000638118,0.00005380682,0.00004755051,0.0001544612,0.00005807505,0.0005774666],"genre_scores_gemma":[0.9916002,0.0001481191,0.007715952,0.00006600895,0.0000169125,0.00003252551,0.0001075568,0.00003339803,0.0002793928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005176321,"threshold_uncertainty_score":0.02737534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824675517912614,"score_gpt":0.3105294260328544,"score_spread":0.2922826708537283,"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."}}