{"id":"W1988038420","doi":"10.1007/s10439-011-0315-4","title":"Cervical Spine Model to Predict Capsular Ligament Response in Rear Impact","year":2011,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hybrid III; Whiplash; Cadaver; Strain (injury); Kinematics; Physical medicine and rehabilitation; Medicine; Biomechanics; Ligament; Poison control; Cervical spine; Physical therapy; Anatomy; Surgery; Physics; Emergency medicine","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":[0.0008219416,0.0001933075,0.0004533154,0.0006201455,0.00001350495,0.000004192551,0.000151275,0.0001687569,0.0001859558],"category_scores_gemma":[0.0003655925,0.000162623,0.0001613938,0.0004622096,0.00005049217,0.00005665026,0.00009828051,0.000233908,0.00002430289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005969516,"about_ca_system_score_gemma":0.0001184187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004611237,"about_ca_topic_score_gemma":8.240497e-7,"domain_scores_codex":[0.9983701,0.00002438736,0.0004976647,0.0002615321,0.0004165909,0.0004296879],"domain_scores_gemma":[0.9989685,0.00002747817,0.00005116827,0.000314741,0.00008530433,0.0005527901],"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":[0.01227677,0.004002588,0.001161578,0.001145755,0.0007871647,0.001345253,0.009930043,0.003447063,0.9401516,0.002417194,0.005340504,0.0179945],"study_design_scores_gemma":[0.003758243,0.01540474,0.2153857,0.002763535,0.0001227909,0.0001011422,0.0001570937,0.5923266,0.1650008,0.0007336484,0.003342449,0.0009032235],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757912,0.0001673635,0.02253,0.0009270713,0.00007575895,0.0002782955,0.00003204855,0.00007711953,0.0001211832],"genre_scores_gemma":[0.9944749,0.00006941536,0.004810179,0.0004339919,0.00007559201,0.00001595737,0.00001099825,0.00003204037,0.00007690686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7751508,"threshold_uncertainty_score":0.6631575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0652119260100678,"score_gpt":0.3269229235605951,"score_spread":0.2617109975505273,"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."}}