{"id":"W4253176126","doi":"10.32920/ryerson.14660517.v1","title":"Finite element analysis of middle cervical spine","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cervical and Thoracic Myelopathy","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Spinal cord; Spinal cord injury; Anatomy; Cervical spine; Cord; Finite element method; Displacement (psychology); Vertebral column; Spinal column; Compression (physics); Medicine; Structural engineering; Materials science; Surgery; Engineering; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003017828,0.0003934868,0.0004690134,0.0006360785,0.0003276739,0.0005005558,0.0007019215,0.001112062,0.002615044],"category_scores_gemma":[0.0006850972,0.0003086322,0.0006208902,0.0002828872,0.0003501417,0.0003107882,0.0003728898,0.0003057078,0.0006337956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004452286,"about_ca_system_score_gemma":0.0007042201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005589289,"about_ca_topic_score_gemma":0.004691342,"domain_scores_codex":[0.9998379,0.0000320276,0.00001316003,0.00002288777,0.00007829717,0.00001581653],"domain_scores_gemma":[0.9998198,0.00008385517,0.00002055204,0.00001644717,0.00005112855,0.000008329569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002392271,0.00003148556,0.0008942324,0.00007479244,0.00001747053,0.0000887207,0.0001075498,0.9684412,0.01356029,0.00296858,0.0002315876,0.01356015],"study_design_scores_gemma":[0.00000246304,0.00001771965,0.0004289625,0.00001105021,0.000003263558,0.00002930339,0.00002281176,0.996734,0.0009387186,0.0005979394,0.001208381,0.000005308534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1510301,0.0005928634,0.8311332,0.0002584537,0.00007949612,0.0001969209,0.0005133642,0.0004751251,0.01572057],"genre_scores_gemma":[0.8497738,0.0005073207,0.137232,0.00009041205,0.00002139978,0.0003122006,0.0005837059,0.0001070682,0.011372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005589289,"threshold_uncertainty_score":0.01111346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04136348792058179,"score_gpt":0.3079468969499998,"score_spread":0.266583409029418,"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."}}