{"id":"W4413696355","doi":"10.1007/s13437-025-00379-4","title":"Vessel routing planning on the St. Lawrence River in Canada","year":2025,"lang":"en","type":"article","venue":"WMU Journal of Maritime Affairs","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université du Québec à Trois-Rivières","funders":"Mitacs","keywords":"Public international law; Routing (electronic design automation); International law; Political science; Law; Computer science; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002883366,0.0003250681,0.0003494965,0.00119127,0.003664102,0.002702947,0.001065347,0.0007116687,0.007045031],"category_scores_gemma":[0.001051134,0.0004219379,0.0004631982,0.002946387,0.0006649012,0.0005318804,0.0005218665,0.0006044164,0.0006109745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04640038,"about_ca_system_score_gemma":0.05038362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997079,"about_ca_topic_score_gemma":0.9992679,"domain_scores_codex":[0.999553,0.00004427214,0.00001442722,0.00006042577,0.0001097972,0.0002181316],"domain_scores_gemma":[0.9995427,0.00004346187,0.00002541109,0.00000970065,0.0003001044,0.00007864377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003969448,0.0001856391,0.1401867,0.000311499,0.0001740326,0.001324849,0.002420751,0.5949363,0.003344847,0.04656278,0.06255057,0.1476051],"study_design_scores_gemma":[0.0001146074,0.0002119205,0.2489628,0.0002904706,0.0001603723,0.0002857498,0.02300856,0.6156159,0.003169816,0.007884501,0.1000456,0.0002496342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8984246,0.001353875,0.005669525,0.002865095,0.00007027752,0.0002210905,0.006462949,0.0003831024,0.0845495],"genre_scores_gemma":[0.9449148,0.0007443082,0.008209804,0.0001243821,0.000005092983,0.00002417244,0.002046966,0.00007010868,0.04386036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04640038,"threshold_uncertainty_score":0.3366598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009906817263178712,"score_gpt":0.204064031421694,"score_spread":0.1941572141585153,"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."}}