{"id":"W4390049082","doi":"10.1007/s10439-023-03418-4","title":"Injury Risk for the Hand and Forearm Under Loading Representative of Behind Shield Blunt Trauma","year":2023,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Orthopedic Surgery and Rehabilitation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada","keywords":"Forearm; Projectile; Shield; Blunt; Shields; Face shield; Fracture (geology); Poison control; Deformation (meteorology); Structural engineering; Orthodontics; Geology; Forensic engineering; Materials science; Medicine; Surgery; Engineering; Geotechnical engineering; Composite material; Medical emergency","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008476079,0.00007563624,0.0002136862,0.0001674254,0.00004388673,0.000004591328,0.00003650118,0.00007738276,0.00001555014],"category_scores_gemma":[0.001102597,0.00004972164,0.0001009194,0.0002473203,0.000221913,0.00004206004,0.00002611972,0.0001104858,6.693728e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003539369,"about_ca_system_score_gemma":0.00002015834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003859289,"about_ca_topic_score_gemma":0.000001049942,"domain_scores_codex":[0.9992259,0.00001567656,0.0002726341,0.0001272238,0.0002033213,0.0001552797],"domain_scores_gemma":[0.9981678,0.001487471,0.00007165418,0.0001198278,0.000060824,0.00009239108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00168878,0.0006238495,0.02684653,0.004401563,0.002506112,0.00003166712,0.02758123,0.002404582,0.225132,0.001878536,0.01318708,0.6937181],"study_design_scores_gemma":[0.003823806,0.003909582,0.4465842,0.00187428,0.0006165961,0.00003259081,0.0105462,0.124717,0.3865887,0.001886573,0.01888416,0.0005362917],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898884,0.0005029341,0.006420739,0.002654287,0.0001662195,0.0002643709,0.00004976547,0.00002600077,0.00002722568],"genre_scores_gemma":[0.9990668,0.000347205,0.0002929023,0.00005232504,0.000110368,0.00002047192,0.00001656507,0.00001165277,0.00008165235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6931818,"threshold_uncertainty_score":0.202759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04622241654626098,"score_gpt":0.343406007573288,"score_spread":0.2971835910270271,"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."}}