{"id":"W4230593715","doi":"10.32920/ryerson.14656419","title":"Crashworthiness of Traffic Light Steel Poles in Vehicle Collisions","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Transport Canada","keywords":"Crashworthiness; Automotive engineering; Finite element method; Collision; Engineering; Process (computing); Doors; Side impact; Bridge (graph theory); Structural engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008193182,0.0001730382,0.0004313328,0.0002334292,0.00001429085,0.00002444214,0.0001560062,0.0002160358,0.0004536582],"category_scores_gemma":[0.00001042943,0.0001700365,0.0001963336,0.0004670916,0.00001394106,0.00008057746,0.00002542142,0.0003093154,0.000004973845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003404958,"about_ca_system_score_gemma":0.00006896465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009527628,"about_ca_topic_score_gemma":0.003421999,"domain_scores_codex":[0.9990039,0.00001900224,0.0004905016,0.0001687631,0.0001725734,0.0001452587],"domain_scores_gemma":[0.9994882,0.00003991984,0.00004748511,0.0002980176,0.00006662541,0.00005971994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000003536729,0.00005032149,0.003813603,0.0002245016,0.0001093802,0.00000917792,0.001211391,0.9921855,0.001382619,0.00005786258,0.00005975211,0.0008923346],"study_design_scores_gemma":[0.0007666514,0.00001528976,0.6866318,0.0007777682,0.0002586388,0.000001310721,0.003048649,0.2930451,0.01392287,0.00005704852,0.0006952876,0.0007795505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948314,0.0007740885,0.001952227,0.0001912443,0.0001945249,0.00009969802,0.00004904257,0.0001296506,0.001778116],"genre_scores_gemma":[0.9985303,0.0005011373,0.0005914845,0.00001440154,0.00002110134,0.00001124516,0.0001367833,0.00002368813,0.0001698347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6991404,"threshold_uncertainty_score":0.6933885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026607218272526,"score_gpt":0.2284402377959824,"score_spread":0.2181741656132571,"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."}}