{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004271289,0.000651163,0.0002202766,0.0003901299,0.0006279902,0.001085809,0.0007775471,0.0003037714,0.00276718],"category_scores_gemma":[0.001272891,0.0002550156,0.0004611419,0.0003656787,0.0004447609,0.0006521869,0.0005077266,0.0004128253,0.0001840815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005261938,"about_ca_system_score_gemma":0.004899539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5499535,"about_ca_topic_score_gemma":0.610535,"domain_scores_codex":[0.9997769,0.00005306398,0.000004906752,0.00003473339,0.00004025611,0.00009011538],"domain_scores_gemma":[0.9996021,0.000152331,0.00004429712,0.000027841,0.0001182007,0.00005514506],"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":[0.0001718381,0.0001467603,0.01723364,0.00004377393,0.00003446386,0.0002127198,0.00008330536,0.9646403,0.003345506,0.001341392,0.0007009475,0.01204547],"study_design_scores_gemma":[0.00003135962,0.0002245768,0.008701027,0.000007886498,0.00003444631,0.00001526406,0.0002183137,0.9864797,0.002372217,0.0003456644,0.00154992,0.00001965966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724131,0.00008605739,0.01494581,0.0001525806,0.00002531186,0.0001687606,0.0004660412,0.0003329582,0.01140933],"genre_scores_gemma":[0.9934427,0.00007059411,0.004218761,0.00001116416,0.000001776083,0.00003263297,0.0002263911,0.00001608014,0.001979863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4500465,"threshold_uncertainty_score":0.9053939,"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."}}