{"id":"W2810486204","doi":"10.1016/j.jbiomech.2018.06.015","title":"Fatigue evaluation of long cortical bone using ultrasonic guided waves","year":2018,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Ultrasonic sensor; Materials science; Cortical bone; Elastic modulus; Stress (linguistics); Phase (matter); Fracture (geology); Modulus; Biomedical engineering; Composite material; Acoustics; Medicine; Chemistry; Anatomy; Physics","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":[0.001396253,0.0001022387,0.0002150919,0.0001846715,0.00004301259,0.00002231887,0.0001029444,0.00008903196,0.00008601377],"category_scores_gemma":[0.0003072514,0.00009130732,0.0000840535,0.0002640801,0.00003302266,0.0001501798,0.00001196018,0.0001474692,0.00000306111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001517642,"about_ca_system_score_gemma":0.0001044318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002136625,"about_ca_topic_score_gemma":0.000001783429,"domain_scores_codex":[0.9985339,0.00004981668,0.0006081444,0.0000703616,0.0005779463,0.0001598096],"domain_scores_gemma":[0.9986352,0.00005294213,0.00027403,0.0001189147,0.0008490954,0.00006978253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009414262,0.00003479269,0.0000151298,0.00003891796,0.00006896098,0.000003536489,0.0001246769,0.003727424,0.9694853,0.00009343631,0.00009568941,0.02630273],"study_design_scores_gemma":[0.000362282,0.0001266672,0.00006679103,0.00009004972,0.0001704131,0.0001237728,0.0000564367,0.6815041,0.3162327,0.001178931,0.00001388351,0.00007400001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.692714,0.0003941518,0.3061326,0.0000171543,0.0005945095,0.00007079336,0.000003944371,0.00001090715,0.0000619777],"genre_scores_gemma":[0.9908766,0.00008904447,0.008731454,0.000007254841,0.0002701234,4.565128e-7,0.000002121357,0.00002012086,0.000002884068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6777767,"threshold_uncertainty_score":0.3723404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06504839397984506,"score_gpt":0.3103577600013497,"score_spread":0.2453093660215047,"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."}}