{"id":"W2103196583","doi":"10.1016/j.jse.2012.05.028","title":"Demographic and anthropometric factors affecting elbow range of motion in healthy adults","year":2012,"lang":"en","type":"article","venue":"Journal of Shoulder and Elbow Surgery","topic":"Elbow and Forearm Trauma Treatment","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Hôpital du Sacré-Cœur de Montréal; Université de Montréal","funders":"","keywords":"Elbow; Medicine; Range of motion; Anthropometry; Forearm; Body mass index; Laterality; Elbow flexion; Population; Physical therapy; Orthodontics; Anatomy; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008687119,0.0001543357,0.0006264169,0.001245467,0.00005422166,0.000009012564,0.00002176602,0.0001152057,0.00001969545],"category_scores_gemma":[0.0001574462,0.0001088351,0.0001680963,0.0006040496,0.00008928095,0.0002713397,0.00001346048,0.0002650102,2.205003e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004293719,"about_ca_system_score_gemma":0.00003921677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008682483,"about_ca_topic_score_gemma":0.00001302953,"domain_scores_codex":[0.9986627,0.00006974151,0.0005679964,0.0001118399,0.00028267,0.0003050399],"domain_scores_gemma":[0.9987557,0.0004644775,0.0003168682,0.00008473662,0.00009267413,0.0002855604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007546189,0.0005689834,0.9685014,0.000333205,0.00008538378,0.00002936854,0.001140194,6.361103e-7,0.00008455794,0.00000419866,0.00005910949,0.02843836],"study_design_scores_gemma":[0.001693561,0.0007421111,0.9946407,0.0004343093,0.0001236132,0.0004000687,0.001314632,0.000008834034,0.0005064801,0.00001351121,0.00003454768,0.0000876059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835994,0.01561621,0.00006882233,0.0002135226,0.0002967509,0.0001377124,0.000002958631,0.000007058854,0.0000575264],"genre_scores_gemma":[0.9937776,0.005856811,0.0001328115,0.00004968274,0.0001581283,0.000001023178,0.000002819246,0.00001603084,0.000005129764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02835076,"threshold_uncertainty_score":0.4438166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04022903726325096,"score_gpt":0.3051760367809917,"score_spread":0.2649469995177408,"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."}}