{"id":"W3049315295","doi":"10.1016/j.clinbiomech.2020.105144","title":"Distal radius sections offer accurate and precise estimates of forearm fracture load","year":2020,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Orthopedic Surgery and Rehabilitation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Saskatchewan Health Research Foundation; University of Saskatchewan","keywords":"Forearm; Cadaveric spasm; Fracture (geology); RADIUS; Linear regression; Mathematics; Medicine; Geology; Statistics; Surgery; Computer science; Geotechnical engineering","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":[0.0003876141,0.0001109256,0.0003694962,0.00003393332,0.00004340036,0.00000869397,0.00003981719,0.000204489,0.0001020513],"category_scores_gemma":[0.002600162,0.00008161143,0.0001642663,0.000231167,0.0001353422,0.00006527208,0.00004536993,0.0002402187,0.00001388114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001325776,"about_ca_system_score_gemma":0.0001098982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005152502,"about_ca_topic_score_gemma":0.00000135545,"domain_scores_codex":[0.9988731,0.00004678224,0.0005112961,0.0002657389,0.0001774259,0.0001257166],"domain_scores_gemma":[0.9984242,0.0008927346,0.0001321854,0.0001609837,0.0001279705,0.0002619755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004891535,0.003350585,0.08497866,0.002463064,0.001009636,0.0001480298,0.003257839,0.00003005571,0.1018722,0.001218986,0.0157267,0.7810527],"study_design_scores_gemma":[0.02258037,0.02846219,0.185924,0.001642615,0.003614265,0.0003250132,0.002950532,0.1470668,0.1634917,0.02036731,0.4213393,0.002235902],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841683,0.0005159996,0.008045899,0.005927425,0.0004856348,0.0003907961,0.00005565966,0.00007877746,0.0003315012],"genre_scores_gemma":[0.996543,0.0002176276,0.001982888,0.0008830652,0.0002176587,0.000006334275,0.00004232366,0.00001418305,0.00009287052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7788168,"threshold_uncertainty_score":0.3328018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05654343354675612,"score_gpt":0.3580832202615354,"score_spread":0.3015397867147793,"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."}}