{"id":"W4416337099","doi":"10.3390/systems13111031","title":"Utilizing Autonomous Vehicles to Reduce Truck Turn Time in Ports with Application for Port of Montréal","year":2025,"lang":"en","type":"article","venue":"Systems","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Truck; Port (circuit theory); Baseline (sea); Automation; Event (particle physics); Duration (music); Resource (disambiguation)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001485103,0.00007986364,0.0001915979,0.00008820097,0.00001437847,0.00001124487,0.00005873665,0.00004899373,0.000002762884],"category_scores_gemma":[0.00001095001,0.0000733461,0.00001844721,0.000128064,0.000008865354,0.00002283384,0.000009537895,0.00003963541,0.000002568644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005180085,"about_ca_system_score_gemma":0.00002954142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005908642,"about_ca_topic_score_gemma":0.00009522388,"domain_scores_codex":[0.9994139,0.000005116995,0.0002726864,0.0001193886,0.00006166387,0.0001272491],"domain_scores_gemma":[0.9997028,0.00002373045,0.00003819119,0.0001693358,0.0000365573,0.0000294315],"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":[0.0002933853,0.0002535054,0.02883821,0.006834904,0.0003446079,0.00006652567,0.002097647,0.6853207,0.05786069,0.02376384,0.03355873,0.1607672],"study_design_scores_gemma":[0.001387704,0.0001909687,0.04440033,0.001050585,0.00009662343,0.00004091613,0.0008652133,0.7628635,0.009537064,0.0005005449,0.1783541,0.0007124895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7328473,0.004705765,0.1663971,0.0003256464,0.00103908,0.005707052,0.000150052,0.0006666984,0.08816124],"genre_scores_gemma":[0.9978596,0.000003661314,0.0006211414,0.000007529697,0.00002664261,0.0001529426,0.00001595296,0.00001454954,0.001297981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2650122,"threshold_uncertainty_score":0.2990967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006587152917355569,"score_gpt":0.2146826263163645,"score_spread":0.2080954733990089,"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."}}