{"id":"W4409793671","doi":"10.61091/jcmcc127a-252","title":"An Empirical Study of Container Transportation Price Volatility under Uncertainty Shocks Based on DCC-GARCH and SVAR Models","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autoregressive conditional heteroskedasticity; Volatility (finance); Econometrics; Container (type theory); Economics; Financial economics; 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":[0.001145071,0.0002507945,0.0007113438,0.0002043622,0.0001300424,0.00008765106,0.0001932222,0.0001531668,0.000005226718],"category_scores_gemma":[0.00009657875,0.0002208562,0.00007830001,0.0002307751,0.00006424601,0.0001240683,0.00002449644,0.0004388815,4.923896e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007406349,"about_ca_system_score_gemma":0.00009789492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003115333,"about_ca_topic_score_gemma":0.000004620184,"domain_scores_codex":[0.9979395,0.0001034602,0.00108283,0.0001844657,0.000476151,0.0002136252],"domain_scores_gemma":[0.9982085,0.0006681302,0.0003348496,0.000230127,0.0004208024,0.0001375801],"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":[0.0008514702,0.006692148,0.01245994,0.001509714,0.000463783,0.00004344939,0.006000472,0.5172375,0.0002673742,0.4517705,0.0002383502,0.002465297],"study_design_scores_gemma":[0.004549241,0.001356763,0.00353437,0.0002005378,0.0001429403,0.000002505714,0.0008209157,0.7893016,0.00004842677,0.1998243,0.00003170899,0.0001866521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452612,0.00006827329,0.05112751,0.00003182265,0.002565237,0.0003323924,0.00000501765,0.00003590268,0.0005726041],"genre_scores_gemma":[0.9988649,0.000007340778,0.0008948814,0.00002090398,0.0001829425,0.000001966474,0.00000311776,0.00002207555,0.000001898169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2720641,"threshold_uncertainty_score":0.9006254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923291196527011,"score_gpt":0.2818762535140606,"score_spread":0.2626433415487905,"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."}}