{"id":"W2035772942","doi":"10.1016/j.ajsl.2014.04.002","title":"System Dynamics Modeling for Determining Optimal Ship Sizes and Types in Coastal Liner Services","year":2014,"lang":"en","type":"article","venue":"The Asian Journal of Shipping and Logistics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Software deployment; Revenue; Investment (military); System dynamics; Order (exchange); Operations research; Capital investment; Business; Computer science; Marine engineering; Environmental science; Finance; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005581513,0.000702568,0.0006345965,0.000658239,0.0006244024,0.001205684,0.0006720361,0.001061751,0.002843506],"category_scores_gemma":[0.001317282,0.0005032768,0.0009047774,0.0004578699,0.0004163218,0.0007986466,0.00076053,0.0009223146,0.0002480354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235158,"about_ca_system_score_gemma":0.001557523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0304542,"about_ca_topic_score_gemma":0.01824394,"domain_scores_codex":[0.9998097,0.00006517659,0.00001007722,0.0000383369,0.00003442819,0.00004222996],"domain_scores_gemma":[0.999438,0.0003559548,0.00008078379,0.00001191668,0.00008439692,0.00002903802],"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":[0.00001007222,0.000008724436,0.0005517027,0.00001583725,0.000007236951,0.00002817908,0.00001844956,0.9971402,0.0002680388,0.001062855,0.00007082213,0.0008178735],"study_design_scores_gemma":[0.000002291714,0.000006227986,0.0001084711,0.000002392689,0.000002318547,0.000002036113,0.00001367279,0.9994103,0.00004681764,0.0003069704,0.00009698187,0.000001493319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2526492,0.0005778156,0.7203069,0.0007753227,0.00009195351,0.0003367297,0.001006046,0.0004365193,0.02381956],"genre_scores_gemma":[0.9770284,0.0003183333,0.01927153,0.00003955815,0.00001280753,0.000235468,0.0002623385,0.00002630132,0.0028052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0304542,"threshold_uncertainty_score":0.06055391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474807965292856,"score_gpt":0.2155087367794313,"score_spread":0.2007606571265027,"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."}}