{"id":"W2012942952","doi":"10.3141/2273-05","title":"Impacts of Panama Canal Expansion on U.S. Greenhouse Gas Emissions","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Greenhouse gas; Panama canal; Environmental science; Global warming; Agricultural economics; Climate change; Natural resource economics; Business; Environmental protection; Environmental engineering; Water resource management; Economics; Oceanography","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":[0.0005704035,0.0003739161,0.0001829171,0.0005268664,0.0005830617,0.001410989,0.0001928269,0.0003885434,0.00614264],"category_scores_gemma":[0.002347723,0.0001110258,0.0004115828,0.001184871,0.0003626168,0.0009038088,0.001066505,0.0004104371,0.0003514701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807129,"about_ca_system_score_gemma":0.001345979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08979712,"about_ca_topic_score_gemma":0.09892458,"domain_scores_codex":[0.9993931,0.0002115049,0.00001992771,0.00006887205,0.000161439,0.0001451784],"domain_scores_gemma":[0.9989825,0.0002692117,0.0001931135,0.00005916663,0.000392937,0.0001029658],"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":[0.001661141,0.0004800805,0.7430611,0.0003038023,0.0004263792,0.002375437,0.0007653443,0.1047282,0.008619995,0.006008471,0.02327452,0.1082956],"study_design_scores_gemma":[0.00008380903,0.0007189325,0.9045143,0.00008526191,0.0002899882,0.0005420133,0.003306334,0.03432588,0.006008524,0.001871463,0.04818174,0.00007186576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714224,0.0005206285,0.0004987258,0.001056285,0.00004992571,0.0000274518,0.001467088,0.00008193186,0.02487561],"genre_scores_gemma":[0.9956488,0.0004582474,0.0002844004,0.0001174137,0.0000185007,0.00001813806,0.0009350158,0.00001310791,0.002506443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08979712,"threshold_uncertainty_score":0.1785489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0602259932813236,"score_gpt":0.3555657307742515,"score_spread":0.2953397374929279,"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."}}