{"id":"W4390519720","doi":"10.20944/preprints202312.2295.v1","title":"Port Expansion Project and Sustainable Mobility: Secure Road Transport Fluidity at Access Gates Through Simulation","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Mitacs","keywords":"Port (circuit theory); Truck; Transport engineering; Traffic congestion; Service (business); Process (computing); Level of service; Traffic flow (computer networking); Business; Computer science; Engineering; Computer security; Automotive engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008998279,0.0005598327,0.0006502134,0.0001501706,0.0002022987,0.00006566066,0.0004477099,0.0006201899,0.0005674608],"category_scores_gemma":[0.0001841381,0.0005872182,0.000172752,0.0002141781,0.0001150848,0.000339339,0.001714462,0.0008090408,0.00006756435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003179197,"about_ca_system_score_gemma":0.0001441235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003550177,"about_ca_topic_score_gemma":0.0001627731,"domain_scores_codex":[0.9970038,0.00006430985,0.000740848,0.001115301,0.0004098522,0.000665877],"domain_scores_gemma":[0.9982282,0.00009575474,0.0001571932,0.001173965,0.0002245527,0.000120335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006353016,0.0001104603,0.5189471,0.005074165,0.0001831078,0.0002168592,0.002852177,0.4712423,0.0003345209,0.0002092985,0.0003216429,0.0004447911],"study_design_scores_gemma":[0.0004557667,0.00002303324,0.8851846,0.0003102173,0.0002479595,0.00001160891,0.0003585363,0.0796277,0.006981074,0.006303215,0.01927141,0.001224848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885996,0.0003170635,0.002571541,0.00009521964,0.0006134789,0.001902169,0.000109791,0.001321741,0.004469391],"genre_scores_gemma":[0.9941654,0.001140682,0.0001187141,0.00002216578,0.0001927303,0.0003055354,0.0006262087,0.000130083,0.003298535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3916146,"threshold_uncertainty_score":0.9996579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568875313379477,"score_gpt":0.3630546395852005,"score_spread":0.2061671082472528,"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."}}