{"id":"W4221023795","doi":"10.1080/15435075.2022.2045298","title":"A review on thematic and chronological framework of impact assessment for green airports","year":2022,"lang":"en","type":"review","venue":"International Journal of Green Energy","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Civil Aviation Organization","funders":"European Commission","keywords":"Sustainability; Environmental economics; Environmental impact assessment; Natural resource; Thematic analysis; Economic impact analysis; Phenomenon; Function (biology); Distribution (mathematics); Set (abstract data type); Business; Subject (documents); Economics; Environmental resource management; Natural resource economics; Engineering; Political science; Computer science; Sociology; Civil engineering; Qualitative research; Ecology","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":[0.002361863,0.001099239,0.001580513,0.01172689,0.0005977548,0.002189954,0.00114455,0.001135046,0.005055696],"category_scores_gemma":[0.005863237,0.0005165447,0.001731155,0.01348575,0.0008702007,0.003102802,0.001034278,0.001718828,0.001045348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040891,"about_ca_system_score_gemma":0.005783953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002695847,"about_ca_topic_score_gemma":0.005598374,"domain_scores_codex":[0.9988839,0.0003176266,0.0002672912,0.000152794,0.0003175554,0.00006080021],"domain_scores_gemma":[0.9962902,0.002131897,0.0005706992,0.00008951133,0.000818432,0.00009930117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009318338,0.00007245746,0.0006295882,0.2033283,0.0003764116,0.0002197366,0.0006147974,0.0006325785,0.001163314,0.0205854,0.0495432,0.722741],"study_design_scores_gemma":[0.00001328146,0.0000837246,0.002326747,0.08347545,0.0006636847,0.0006271143,0.0003522393,0.0001284547,0.0003156357,0.004555137,0.9074251,0.00003343181],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001537534,0.9968206,0.0003334343,0.0007626047,0.0003412271,0.00002741771,0.0000803937,0.000007925981,0.001472675],"genre_scores_gemma":[0.001159625,0.9974733,0.0004752893,0.0003647201,0.0001529405,0.00003059167,0.00006607006,0.000002841279,0.0002746505],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01172689,"threshold_uncertainty_score":0.016913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134903892639067,"score_gpt":0.3861977714565393,"score_spread":0.2727073821926326,"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."}}