{"id":"W2772229512","doi":"10.1177/0954407017743345","title":"A general rollover index for tripped and un-tripped rollovers on flat and sloped roads","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rollover (web design); CarSim; Index (typography); Control theory (sociology); Computer science; Automotive engineering; Engineering; Vehicle dynamics; Artificial intelligence","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":[0.0006372586,0.0002453024,0.0005704037,0.0001755682,0.0001013144,0.00006976813,0.0003808775,0.0001727084,0.000002439166],"category_scores_gemma":[0.0003939043,0.0001958749,0.0002130531,0.0001001265,0.00005828285,0.0003585761,0.00006909721,0.0003100594,1.430836e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006946744,"about_ca_system_score_gemma":0.00003024132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004889594,"about_ca_topic_score_gemma":6.087561e-7,"domain_scores_codex":[0.9985829,0.000003918427,0.0006843219,0.0001513467,0.0003253267,0.000252168],"domain_scores_gemma":[0.9990245,0.00006112781,0.0004207754,0.0001508678,0.0002020636,0.0001407425],"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":[0.0004583257,0.00007168884,0.0004906687,0.000921282,0.0007898296,0.000004207519,0.0002944705,0.7057326,0.2534681,0.02984649,0.0002168536,0.007705415],"study_design_scores_gemma":[0.003269912,0.000292369,0.0008312021,0.0004849322,0.000114845,0.00005604499,0.00005223028,0.9608552,0.03242502,0.0001813996,0.001206514,0.0002302749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834139,0.0003462317,0.01417776,0.0001376611,0.001242301,0.0004407224,0.00002281166,0.00004807734,0.0001705802],"genre_scores_gemma":[0.9985217,0.0001456818,0.001047817,0.000008130821,0.0002019882,0.00001678834,4.876641e-7,0.00003379726,0.00002360883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2551226,"threshold_uncertainty_score":0.7987547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005858603342356654,"score_gpt":0.1983372467779417,"score_spread":0.1924786434355851,"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."}}