{"id":"W4294636380","doi":"10.5267/j.uscm.2022.7.007","title":"Optimization of Thai-Lao cross border transportation via R9 route for Thai shippers","year":2022,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Documentation; Sample (material); Reliability (semiconductor); Transport engineering; Business; Operations management; Population; Operations research; Computer science; Marketing; 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":[0.001087867,0.00059732,0.000256917,0.0009959356,0.0006632553,0.001666347,0.0004806946,0.0003204272,0.003529727],"category_scores_gemma":[0.002855378,0.0001889258,0.0004344501,0.001447396,0.0003177977,0.001437826,0.0009251447,0.0002971542,0.0007870469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269694,"about_ca_system_score_gemma":0.002664937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01506675,"about_ca_topic_score_gemma":0.01702035,"domain_scores_codex":[0.9988863,0.0004281164,0.00008829156,0.0001579528,0.0002572316,0.000182208],"domain_scores_gemma":[0.9985222,0.0001799468,0.0003499539,0.0001297693,0.0006596241,0.0001583881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001322524,0.001915778,0.2339435,0.001923164,0.0002951136,0.001977679,0.006355566,0.0977772,0.04285106,0.005729283,0.006819148,0.5990899],"study_design_scores_gemma":[0.0001431614,0.008545715,0.6653291,0.000627905,0.0006975504,0.001205965,0.06086134,0.1521719,0.05189209,0.002674916,0.05553156,0.0003189075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726467,0.0003964927,0.01454292,0.0002649726,0.00002898882,0.0002601805,0.0002351977,0.0002050865,0.01141945],"genre_scores_gemma":[0.9802271,0.0003987993,0.01454291,0.00002786983,0.000005397977,0.00009758859,0.0003571835,0.00003884294,0.004304339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01506675,"threshold_uncertainty_score":0.02995807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025352994866058,"score_gpt":0.2567518269942881,"score_spread":0.2464982970456275,"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."}}