{"id":"W7034289018","doi":"","title":"Testing of a Monitoring, Reporting &amp; Verification (MRV) Scheme for the integration of non-CO2 aviation effects into EU ETS","year":2022,"lang":"en","type":"other","venue":"elib (German Aerospace Center)","topic":"Physical Education and Gymnastics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aviation; Incentive; Process (computing); Greenhouse gas; Emissions trading; Climate change; Montreal Protocol; Global warming","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02862496,0.0005469702,0.0004534733,0.0009911087,0.0007310239,0.002047994,0.002631349,0.002090188,0.005468024],"category_scores_gemma":[0.03899444,0.0003137253,0.0007051018,0.0004926954,0.001223298,0.002961013,0.001936859,0.001059138,0.001403765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002240353,"about_ca_system_score_gemma":0.005000398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006789302,"about_ca_topic_score_gemma":0.001924745,"domain_scores_codex":[0.9807373,0.01169011,0.0008804372,0.002190214,0.003548822,0.0009530751],"domain_scores_gemma":[0.9589911,0.02146938,0.003397902,0.008392266,0.00615788,0.001591405],"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":[0.007428393,0.008169311,0.1382719,0.001341543,0.0004821882,0.0008037777,0.001639082,0.1315141,0.07564738,0.09113691,0.01923301,0.5243325],"study_design_scores_gemma":[0.002252152,0.008926805,0.0425019,0.0003279433,0.0002406652,0.0005140211,0.0009041667,0.7647228,0.1315658,0.01164651,0.0361574,0.000239828],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6293573,0.000306966,0.3279017,0.004097919,0.0003737385,0.006390347,0.002037773,0.01099412,0.01854008],"genre_scores_gemma":[0.8024914,0.00007024664,0.1914551,0.0004560145,0.00004281782,0.0009991247,0.001015869,0.0001403312,0.003329155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02862496,"threshold_uncertainty_score":0.1513851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05166548695719925,"score_gpt":0.390454531796345,"score_spread":0.3387890448391457,"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."}}