{"id":"W2086859301","doi":"10.1080/15389588.2014.885647","title":"Anthropometric Specifications, Development, and Evaluation of EvaRID—A 50th Percentile Female Rear Impact Finite Element Dummy Model","year":2014,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Université de Sherbrooke","keywords":"Whiplash; Percentile; Hybrid III; Crash; Crash test; Poison control; Anthropometry; Side impact; Engineering; Volunteer; Injury prevention; Simulation; Displacement (psychology); Statistics; Structural engineering; Medicine; Mathematics; Psychology; Computer science; Medical emergency","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004375819,0.0005729724,0.0003407099,0.0004822193,0.0001381521,0.0004043388,0.001417702,0.0005920812,0.003951964],"category_scores_gemma":[0.0006992219,0.0003177508,0.0005885681,0.0002227438,0.0002794314,0.000202067,0.0005389279,0.000310382,0.0014902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940649,"about_ca_system_score_gemma":0.0006221137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001744512,"about_ca_topic_score_gemma":0.001475874,"domain_scores_codex":[0.9997007,0.00005250567,0.00003124552,0.00004742642,0.0001407463,0.00002750482],"domain_scores_gemma":[0.9997132,0.00007625781,0.00005310444,0.00004331766,0.00009873426,0.00001530334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000311442,0.0001459682,0.01043938,0.0004522197,0.00004119437,0.000515008,0.0002114159,0.8138958,0.08144672,0.006932118,0.002468724,0.08313989],"study_design_scores_gemma":[0.00004410552,0.0004934012,0.006212406,0.00008074504,0.00003738692,0.0003686235,0.0001165174,0.9390865,0.02517476,0.0007657501,0.02757552,0.00004430657],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.144812,0.0002673661,0.8380352,0.0001211926,0.000096413,0.0004026345,0.003347442,0.001097297,0.01182036],"genre_scores_gemma":[0.7318921,0.0004763073,0.2457267,0.00006836116,0.00001856277,0.0009332174,0.006824775,0.0002576422,0.01380221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003951964,"threshold_uncertainty_score":0.01322067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09333636401682295,"score_gpt":0.3694097925340274,"score_spread":0.2760734285172045,"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."}}