{"id":"W2901594297","doi":"10.1155/2018/6752574","title":"Speed Behavior of Passenger Car on Helical Ramps and Helical Bridges in Mountain Riverside City","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Transport of the People's Republic of China; National Natural Science Foundation of China","keywords":"Bridge (graph theory); Acceleration; Operating speed; Automotive engineering; Trajectory; Helix (gastropod); Work (physics); Transport engineering; Engineering; Computer science; Simulation; Mechanical engineering; Civil engineering; Geology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006583404,0.0000847393,0.0001939157,0.0001641462,0.00001333407,0.000005232985,0.0000402469,0.00004956008,0.00001986166],"category_scores_gemma":[0.00001368637,0.00007845536,0.00005826454,0.0001467262,0.00003758562,0.0001595054,6.635989e-7,0.0001375884,5.958528e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003937311,"about_ca_system_score_gemma":0.000007067237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001272153,"about_ca_topic_score_gemma":0.00006691233,"domain_scores_codex":[0.999356,0.000009167006,0.000328695,0.00006727473,0.000154429,0.0000844557],"domain_scores_gemma":[0.9997052,0.00003207315,0.00007244047,0.00005154822,0.00008273311,0.00005603735],"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":[0.0001994545,0.00004139731,0.02175343,0.00005309391,0.00006619559,0.00003983086,0.001233459,0.7897243,0.1728491,0.0002160335,0.00001674949,0.01380689],"study_design_scores_gemma":[0.0008251956,0.0001737327,0.922318,0.0000575658,0.00006896759,0.000008931462,0.0003206469,0.005774347,0.0702285,0.00004217966,0.00008101487,0.0001009498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921589,0.00006495015,0.007536295,0.00004401217,0.0001162941,0.00004434426,0.000008531386,0.00001522896,0.00001137164],"genre_scores_gemma":[0.9978802,0.00008253436,0.001942827,0.00001117397,0.00006380196,6.544604e-7,0.000006602115,0.000009024395,0.000003237119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9005646,"threshold_uncertainty_score":0.3199317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008900556312851927,"score_gpt":0.2447873739835742,"score_spread":0.2358868176707223,"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."}}