{"id":"W200512521","doi":"10.14512/gaia.18.1.11","title":"Aviation and Climate Protection Flugverkehr und Klimaschutz – Ein Überblick über die Erfassung und Regulierung der Klimawirkun gen des Flugverkehrs","year":2009,"lang":"en","type":"article","venue":"GAIA - Ecological Perspectives for Science and Society","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Civil Aviation Organization","funders":"","keywords":"Aviation; Radiative forcing; Air traffic control; Cirrus; Civil aviation; Greenhouse gas; Environmental science; Meteorology; Emissions trading; Climate change; Climatology; Geography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001575836,0.0002172851,0.000380626,0.0001413545,0.001643201,0.0003467218,0.0001846223,0.0002327812,0.00008027493],"category_scores_gemma":[0.0003650562,0.0002018246,0.0001773624,0.0007981408,0.0008053882,0.001016683,0.00008443548,0.0002256503,0.00001480506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004042966,"about_ca_system_score_gemma":0.00004607357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004406006,"about_ca_topic_score_gemma":0.00003696746,"domain_scores_codex":[0.9979886,0.00002433721,0.0004320696,0.0008754139,0.0001254403,0.0005541549],"domain_scores_gemma":[0.9990132,0.0000714201,0.0002995608,0.0001942464,0.0002462207,0.000175379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001575797,0.001345478,0.1684697,0.0001362923,0.000762346,0.000005631718,0.02221886,0.0005703063,0.00284949,0.7757552,0.001184475,0.02654474],"study_design_scores_gemma":[0.0007877236,0.0004509822,0.9295055,0.00001207391,0.00009064139,0.000003603059,0.003230774,0.01672488,0.000124308,0.04691807,0.001753423,0.0003980095],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837332,0.00478122,0.003990871,0.002172769,0.0001089321,0.0005393657,0.00004961811,0.00007768661,0.004546366],"genre_scores_gemma":[0.9952613,0.001379364,0.002556364,0.0003172373,0.0001068647,0.0000552736,0.000009435037,0.000009181136,0.0003049858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7610359,"threshold_uncertainty_score":0.9996565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04469006198674946,"score_gpt":0.2838174850989003,"score_spread":0.2391274231121508,"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."}}