{"id":"W3112082390","doi":"10.1155/2020/8880335","title":"Restriction Analysis of Transport Policy for Bridges Using the Trajectory Data","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Ningbo; Department of Education of Zhejiang Province; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Premise; Trajectory; Transport engineering; Computer science; Control (management); Transport policy; Traffic congestion; Engineering; Public transport","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":[0.0004950291,0.00007993617,0.0002599462,0.0002536508,0.0001898853,0.00001119147,0.000281469,0.00005857105,0.00000975173],"category_scores_gemma":[0.0001309353,0.00006722385,0.0001850632,0.001437385,0.00007946061,0.0006566247,5.246243e-7,0.000100813,5.759479e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003709927,"about_ca_system_score_gemma":0.0003735885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003761133,"about_ca_topic_score_gemma":0.001168147,"domain_scores_codex":[0.9986325,0.00005799788,0.0006446901,0.0001378714,0.0004040233,0.0001229151],"domain_scores_gemma":[0.998518,0.000151761,0.000729373,0.0001201953,0.0003969591,0.00008374583],"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":[0.0002910136,0.00003106123,0.01731624,0.00002523688,0.0002596655,0.000001992127,0.02163153,0.9565918,0.001248638,0.001368974,0.00002482062,0.001209062],"study_design_scores_gemma":[0.001424246,0.0002317773,0.9510491,0.00006280241,0.004213152,5.182329e-7,0.02076373,0.01421229,0.0004697762,0.0001882537,0.007174505,0.0002098142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6333289,0.0001598017,0.3637383,0.001990416,0.0001716691,0.0002130139,0.0003507374,0.00001821309,0.00002895108],"genre_scores_gemma":[0.9856684,0.0004490487,0.0131137,0.0001086047,0.0002535176,0.000001500967,0.0003893441,0.000009535155,0.000006331462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9423795,"threshold_uncertainty_score":0.2741309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06891414264386538,"score_gpt":0.3634102823362798,"score_spread":0.2944961396924144,"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."}}