{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002719715,0.0002116322,0.0001939125,0.0001431466,0.000540261,0.00001986243,0.0005799741,0.0000951681,0.00007518563],"category_scores_gemma":[0.00001586323,0.0001642308,0.0000395898,0.0006736986,0.004480601,0.0002499622,0.0006372927,0.0001526414,0.000002795694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915433,"about_ca_system_score_gemma":0.00001371372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156426,"about_ca_topic_score_gemma":0.0006761698,"domain_scores_codex":[0.9979367,0.00001628438,0.0003417589,0.0007374422,0.0004866112,0.0004811744],"domain_scores_gemma":[0.99905,0.00003614297,0.0001325102,0.0005542903,0.000001900718,0.0002251121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002140028,0.0002816918,0.3751128,0.000001852807,0.000006157094,0.000002687511,0.0003500663,0.1881051,0.2413826,0.0007691681,0.000007312997,0.1939591],"study_design_scores_gemma":[0.0002070361,0.0000757945,0.1833103,0.000008830842,0.00002752261,0.00001158995,0.0004016094,0.8009179,0.01247409,0.0008425675,0.001395178,0.0003276632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931809,0.00007396554,0.06750244,0.000268402,0.00001416576,0.0001129797,0.00001892469,0.00003846818,0.0001616692],"genre_scores_gemma":[0.9956482,0.0002814995,0.003841902,0.0001102408,0.000006552743,0.00001582636,0.000006453987,0.00001417499,0.00007514294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6128128,"threshold_uncertainty_score":0.9982286,"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."}}