{"id":"W2043678192","doi":"10.1021/es060752e","title":"Modeling Energy Use and Emissions from North American Shipping:  Application of the Ship Traffic, Energy, and Environment Model","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Army Corps of Engineers","keywords":"Tonne; Proxy (statistics); Environmental science; Port (circuit theory); Nautical mile; Meteorology; Geography; Engineering; Computer science; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000596179,0.0006149272,0.0004845229,0.0005011375,0.0005438321,0.000818151,0.0009843778,0.0007545188,0.001178518],"category_scores_gemma":[0.001175413,0.0004813865,0.0007788193,0.00103439,0.0002699708,0.0006708081,0.0006762687,0.000615096,0.0001594539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598548,"about_ca_system_score_gemma":0.00188181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1593651,"about_ca_topic_score_gemma":0.1309184,"domain_scores_codex":[0.9997655,0.0001002902,0.00001001295,0.00005715667,0.00003772238,0.00002932641],"domain_scores_gemma":[0.9997316,0.0001553422,0.00002792742,0.00001783983,0.00005210439,0.00001518462],"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":[0.00001308968,0.00002277365,0.004027857,0.0000116993,0.00002990282,0.00002636598,0.00001766768,0.990399,0.00009363655,0.001348981,0.0003926953,0.003616284],"study_design_scores_gemma":[0.000004596131,0.000005541777,0.0013312,0.000001391547,0.000006745252,0.000006822967,0.00001452743,0.9972229,0.00005023114,0.0009860359,0.0003659054,0.000004119524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.809611,0.0005961762,0.1715365,0.001101431,0.00007416069,0.00009697927,0.004409578,0.0006588951,0.0119154],"genre_scores_gemma":[0.967373,0.0003742577,0.02649282,0.00007487478,0.00002844952,0.000141881,0.001946946,0.00006585583,0.003501931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1593651,"threshold_uncertainty_score":0.3168749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0076336320438707,"score_gpt":0.1921466579134025,"score_spread":0.1845130258695318,"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."}}