{"id":"W2096110400","doi":"10.1016/j.medengphy.2014.02.019","title":"Development of a balanced experimental–computational approach to understanding the mechanics of proximal femur fractures","year":2014,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Bone fractures and treatments","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; University of British Columbia","funders":"","keywords":"Digital image correlation; Finite element method; Femur; Femoral neck; Hip fracture; Drop test; Drop (telecommunication); Biomechanics; Fracture (geology); Structural engineering; Tower; Orthodontics; Materials science; Computer science; Engineering; Surgery; Osteoporosis; Anatomy; Medicine; Mechanical engineering; Composite material","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":[0.0001469136,0.0001206766,0.0002476767,0.00002749305,0.00003329831,0.000003940929,0.00008946551,0.00005647405,0.00001312954],"category_scores_gemma":[0.00006348872,0.00007877501,0.00005748519,0.0001235081,0.00001985335,0.00001873081,0.00004540974,0.0001357177,0.000001369511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007519596,"about_ca_system_score_gemma":0.00008275935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000287895,"about_ca_topic_score_gemma":1.348902e-7,"domain_scores_codex":[0.9989083,0.000008708357,0.0002317334,0.0001322275,0.0005731242,0.0001458707],"domain_scores_gemma":[0.9995949,0.00006999503,0.000058869,0.0001303835,0.00002277176,0.0001230728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006554998,0.006777478,0.0010093,0.001839431,0.002355055,0.00002246426,0.02913592,0.3850332,0.04572851,0.4774492,0.0007269423,0.04926702],"study_design_scores_gemma":[0.003793175,0.0004467259,0.005640089,0.0006746018,0.00012865,0.00002987709,0.0006293631,0.8963323,0.0873809,0.003080221,0.001491083,0.0003729932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1431328,0.00004028411,0.8561074,0.0001394707,0.00006783165,0.0002141789,0.000001446742,0.00002579724,0.0002708247],"genre_scores_gemma":[0.9500934,5.683551e-7,0.04960733,0.0001500601,0.00008392197,0.00002323833,0.00001858214,0.00001690444,0.000005960077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8069606,"threshold_uncertainty_score":0.3212352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028146523777138,"score_gpt":0.2642792238205598,"score_spread":0.2439977585827885,"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."}}