{"id":"W2991053346","doi":"10.1016/b978-0-12-409548-9.09270-8","title":"Marine Transportation and Energy Use","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Greenhouse gas; Marine transportation; Energy sector; Energy consumption; Climate change; Business; Energy (signal processing); Consumption (sociology); Marine energy; Natural resource economics; Environmental economics; Environmental science; Engineering; Transport engineering; 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":[0.000115415,0.001131315,0.0004429825,0.0012593,0.0006122727,0.002196149,0.0004154867,0.0008856762,0.1175492],"category_scores_gemma":[0.0002895165,0.000311255,0.0002991611,0.002971526,0.0004454201,0.001863703,0.001106997,0.001114165,0.05247497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281116,"about_ca_system_score_gemma":0.001041819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01551646,"about_ca_topic_score_gemma":0.03264457,"domain_scores_codex":[0.9998822,0.0000110249,0.000006050238,0.00002692496,0.00006070227,0.0000130927],"domain_scores_gemma":[0.9999571,0.000009443248,0.000003709474,0.000007612819,0.00001746786,0.000004695694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001779417,0.00003661948,0.0003118964,0.0003288516,0.000008447118,0.00008131192,0.000320337,0.0006429834,0.0007844418,0.08157722,0.3780326,0.5378575],"study_design_scores_gemma":[8.621532e-7,0.00000639345,0.0004005051,0.0001492163,0.000002309608,0.00004828789,0.00008210233,0.00006507651,0.00007271983,0.005261931,0.9939085,0.000002059803],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006938317,0.04555801,0.00103169,0.001243183,0.00132191,0.0000162608,0.000544647,0.00009355002,0.9494969],"genre_scores_gemma":[0.003055951,0.02269858,0.0004503622,0.0002008956,0.0002100996,0.00001658986,0.0003145551,0.0000513597,0.9730016],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1175492,"threshold_uncertainty_score":0.3932412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008069272927351297,"score_gpt":0.1857929086814412,"score_spread":0.1777236357540899,"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."}}