{"id":"W4205419941","doi":"10.1155/2022/5776334","title":"Research on the Optimization of Cross-Border Logistics Paths of the “Belt and Road” in the Inland Regions","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Transport engineering; Destinations; Business; Air transport; Aviation; Computer science; Geography; Tourism; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006465116,0.001031494,0.0009985422,0.0006109652,0.0006693033,0.001489551,0.0007349965,0.0008310826,0.001964887],"category_scores_gemma":[0.0007232395,0.0004696899,0.001534008,0.00112983,0.0004052343,0.001387992,0.0007205884,0.0006818459,0.0001238012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056904,"about_ca_system_score_gemma":0.001834279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971635,"about_ca_topic_score_gemma":0.01324526,"domain_scores_codex":[0.9997144,0.00009042068,0.00001084815,0.00005871179,0.00004085448,0.00008465447],"domain_scores_gemma":[0.9997774,0.00007270947,0.00005019171,0.00001376955,0.00004594729,0.00003998287],"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":[0.00003251834,0.00005428054,0.001455849,0.00008741211,0.00005967768,0.0001012292,0.00003952146,0.981382,0.00126467,0.004621334,0.0004525128,0.0104491],"study_design_scores_gemma":[0.00001198477,0.0001056298,0.001258282,0.00001703408,0.00004711645,0.00003081724,0.0001413924,0.9941526,0.000688363,0.002268826,0.001267507,0.0000103319],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5442958,0.00369256,0.4299044,0.0008243551,0.0001750916,0.0001334431,0.0003395572,0.0002075164,0.02042725],"genre_scores_gemma":[0.9549987,0.001821727,0.03872744,0.00009868396,0.00002248621,0.00007362757,0.0001998616,0.00004465333,0.004012797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01971635,"threshold_uncertainty_score":0.03920317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321171644972016,"score_gpt":0.3502679508508649,"score_spread":0.3181507863536633,"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."}}