{"id":"W4412177917","doi":"10.1057/s41278-025-00324-5","title":"Simulation and optimization of river navigation: the case of the St. Lawrence River and the Port of Quebec","year":2025,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Port (circuit theory); Hydrology (agriculture); Environmental science; Geology; Engineering; Electrical engineering; Geotechnical engineering","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":[0.0007546987,0.0007818506,0.000845788,0.000691055,0.001250972,0.001691203,0.001540102,0.001848853,0.005402061],"category_scores_gemma":[0.003220965,0.000669384,0.0007887453,0.001295155,0.0009767383,0.0006322628,0.0006854655,0.001158301,0.0002818223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00884565,"about_ca_system_score_gemma":0.008087852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9276361,"about_ca_topic_score_gemma":0.9029167,"domain_scores_codex":[0.9996384,0.0001347372,0.0000115086,0.00003898087,0.00004296611,0.0001332357],"domain_scores_gemma":[0.9981456,0.001048318,0.00008889583,0.00005995898,0.0004876721,0.0001696747],"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":[0.00003578762,0.00003097813,0.001592459,0.000009498343,0.00001155405,0.00003890037,0.00001204644,0.9960567,0.00005559842,0.0006616791,0.0005729767,0.0009218371],"study_design_scores_gemma":[0.00001835489,0.00001391614,0.0009042894,0.000003260212,0.0000049098,0.000002873009,0.00004623973,0.9985251,0.00003692264,0.0001728602,0.0002658561,0.000005490954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502257,0.0005116751,0.01118178,0.001614489,0.0000826019,0.0000917942,0.002160608,0.0002012163,0.03393016],"genre_scores_gemma":[0.9894493,0.0001488244,0.003327819,0.00007670526,0.000006258212,0.00003546245,0.0005522094,0.00003163812,0.006371886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07236385,"threshold_uncertainty_score":0.14558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009623660560094225,"score_gpt":0.2130775535251339,"score_spread":0.2034538929650396,"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."}}