{"id":"W2999640630","doi":"10.1155/2020/9861370","title":"Optimization of Gantry Cranes’ Operation Path for Transshipment Based on Improved TSP","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Container (type theory); Transshipment (information security); Gantry crane; Path (computing); Ant colony optimization algorithms; Track (disk drive); Port (circuit theory); Correctness; Computer science; Engineering; Simulation; Mathematical optimization; Automotive engineering; Operations research; Algorithm; Mathematics; Structural engineering; Computer network; Electrical engineering; 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":[0.00008836039,0.00009494818,0.0001885317,0.00004999197,0.00002140419,0.000008147395,0.00004876307,0.00004760306,0.0000435601],"category_scores_gemma":[0.00002051008,0.00008829773,0.00008674893,0.00007195567,0.000009200177,0.0001498433,1.67605e-7,0.00008747973,1.296081e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000203086,"about_ca_system_score_gemma":0.00002956411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.994244e-7,"about_ca_topic_score_gemma":0.000002418138,"domain_scores_codex":[0.9991876,0.000007169001,0.0005063562,0.00006991102,0.000146502,0.00008238707],"domain_scores_gemma":[0.9995466,0.00003919374,0.0001571938,0.00004596093,0.0001490552,0.00006196686],"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":[0.0003053685,0.00003578486,0.00006009649,0.0002447413,0.00001557262,0.000003392062,0.0004756662,0.9810718,0.01415925,0.00007251757,0.00002467853,0.003531153],"study_design_scores_gemma":[0.002297903,0.0007682326,0.003088176,0.00009033302,0.00009032699,7.498404e-7,0.0001470907,0.975085,0.01783855,0.00004566248,0.0004142833,0.0001337491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02461104,0.00005946743,0.9745141,0.0002348977,0.0002100136,0.0002374844,0.00005406122,0.00002281853,0.00005606551],"genre_scores_gemma":[0.9317668,0.00007061353,0.06784814,0.00009591328,0.00008200841,0.000006056902,0.000108697,0.00001967424,0.000002081307],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9071558,"threshold_uncertainty_score":0.3600677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00974201012927532,"score_gpt":0.2154894677556232,"score_spread":0.2057474576263479,"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."}}