{"id":"W2355390561","doi":"","title":"The Impact of Standard on the Competitiveness of Transportation Service Trade: An Empirical Analysis Based on Chinese Whole and Sectoral Panel Data","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transportation industry; Service (business); Cointegration; Business; Panel data; International trade; Trade barrier; Tertiary sector of the economy; Industrial organization; Economics; Transport engineering; Marketing; Econometrics; Engineering","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":[0.000969446,0.00008696863,0.000151367,0.0001647593,0.00007208147,0.00005663428,0.0004673057,0.00003598372,0.000142421],"category_scores_gemma":[0.0002016225,0.00004687981,0.00003658236,0.000656708,0.0001201917,0.00007939414,0.0000215591,0.0001658395,7.131131e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003441261,"about_ca_system_score_gemma":0.0000473198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007073757,"about_ca_topic_score_gemma":0.0008393413,"domain_scores_codex":[0.9987798,0.0001202859,0.0001982102,0.000145492,0.0006363822,0.0001198044],"domain_scores_gemma":[0.9981951,0.0009033576,0.00003819843,0.0003819076,0.0004440332,0.00003740725],"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":[0.0005611801,0.0001752737,0.3675143,0.00009467246,0.0003696979,0.000004253338,0.0002268954,0.6258153,0.0006032035,0.0007408022,0.0002498639,0.003644507],"study_design_scores_gemma":[0.0001300755,0.00004163071,0.5878372,0.00001621642,0.00001047805,1.670547e-7,0.00001769262,0.4113566,0.00004165248,0.00007895661,0.0004384978,0.00003087481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884288,0.00001270465,0.007384623,0.001773299,0.00005732772,0.000112128,0.001433081,0.00001344197,0.0007845805],"genre_scores_gemma":[0.9991091,0.00001357037,0.00003994202,0.00002055335,0.00005829668,0.00000558308,0.0007334815,0.00001068821,0.000008803967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2203228,"threshold_uncertainty_score":0.1911703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073765071504931,"score_gpt":0.4035997803017152,"score_spread":0.2962232731512221,"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."}}