{"id":"W4210292877","doi":"10.1155/2022/6062840","title":"Automatic Guided Vehicles Introduction Impacts to Roll-On/Roll-Off Terminals: Simulation and Cost Model Analysis","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Productivity; Terminal (telecommunication); Engineering; Economic shortage; Transport engineering; Container (type theory); Port (circuit theory); Automotive engineering; Simulation; Computer science; Reliability engineering; Operations research; Mechanical 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":[0.0002697544,0.0001209339,0.0002649203,0.0004107689,0.00009633449,0.00002441532,0.00006109045,0.00002825326,0.0001044134],"category_scores_gemma":[0.00004207757,0.000120501,0.00008945938,0.000416134,0.000009898683,0.0002519256,0.000002305208,0.0001723387,5.398516e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108648,"about_ca_system_score_gemma":0.00002032706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003099731,"about_ca_topic_score_gemma":0.00001479102,"domain_scores_codex":[0.9988597,0.00002117291,0.0005599608,0.0001137725,0.000312759,0.0001326456],"domain_scores_gemma":[0.9994243,0.00005453139,0.0002001421,0.0001047069,0.0001135807,0.0001026795],"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":[0.00006905817,0.00003177812,0.0006574135,0.00003212386,0.0001133556,0.00001378067,0.0008124542,0.9773994,0.001412327,0.00003862721,0.0002258083,0.01919389],"study_design_scores_gemma":[0.0004820507,0.0001714666,0.05227287,0.00001345332,0.0003885903,0.00000618425,0.0002021513,0.9446548,0.0002431713,0.0003572798,0.00107678,0.0001312366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335255,0.0001305478,0.06557336,0.000244816,0.0002059565,0.0001795193,0.00004044432,0.00004471065,0.00005517751],"genre_scores_gemma":[0.9942876,0.00005532878,0.005361797,0.00006737612,0.0001141725,0.00001006867,0.00005334524,0.00001865,0.00003172718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06076206,"threshold_uncertainty_score":0.491389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489774375940629,"score_gpt":0.2785025396706282,"score_spread":0.2636047959112219,"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."}}