{"id":"W4295905368","doi":"10.1007/s11625-022-01207-x","title":"Global tourism, climate change and energy sustainability: assessing carbon reduction mitigating measures from the aviation industry","year":2022,"lang":"en","type":"review","venue":"Sustainability Science","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Greenhouse gas; Aviation; Sustainability; Tourism; Climate change; Business; Global warming; Sustainable development; Natural resource economics; Environmental economics; Transformational leadership; Climate change mitigation; Environmental resource management; Economics; Engineering; Political science","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":[0.001200494,0.001007884,0.001680254,0.003910291,0.0002241245,0.001699364,0.000787081,0.001226638,0.004186474],"category_scores_gemma":[0.003498144,0.0002853903,0.0008371881,0.007864196,0.0005432892,0.001777426,0.0008737909,0.001318379,0.0009772847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407134,"about_ca_system_score_gemma":0.004414591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01128651,"about_ca_topic_score_gemma":0.02402494,"domain_scores_codex":[0.9995247,0.0001073443,0.00006384079,0.00006562121,0.0002089824,0.00002951857],"domain_scores_gemma":[0.9980257,0.00114502,0.0002916389,0.00002956991,0.0004331043,0.00007514534],"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":[0.00006298792,0.00004768855,0.0005343083,0.03996059,0.0003701346,0.00004633272,0.0000474359,0.0005831647,0.0002369345,0.004475541,0.03037254,0.9232624],"study_design_scores_gemma":[0.00004936103,0.0001261722,0.00789137,0.05363628,0.001384515,0.0004258664,0.0002717313,0.0004266799,0.0003180346,0.007607798,0.927812,0.000050107],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001081985,0.9983963,0.00008343296,0.0006744842,0.0001061495,0.000003152576,0.00004552962,0.000003125567,0.0005797242],"genre_scores_gemma":[0.0009290063,0.9983942,0.0001255033,0.0002140757,0.0001065669,0.000004425703,0.00003794604,0.0000014994,0.0001868044],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01128651,"threshold_uncertainty_score":0.02244163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09065385991692783,"score_gpt":0.3222360759838778,"score_spread":0.23158221606695,"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."}}