{"id":"W7110484104","doi":"","title":"Addressing Non-CO2 Emissions — the way towards clean and competitive aviation","year":2025,"lang":"en","type":"other","venue":"elib (German Aerospace Center)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aviation; Research council; Key (lock); Focus (optics); Sustainability; Sustainable development","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":[0.001026193,0.000660761,0.0003011628,0.00092621,0.001375774,0.006073885,0.001206717,0.003034549,0.08254886],"category_scores_gemma":[0.001654844,0.0001170659,0.0003003199,0.0009659947,0.0008880499,0.004225472,0.002555907,0.001684657,0.02364861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002908644,"about_ca_system_score_gemma":0.004735358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305966,"about_ca_topic_score_gemma":0.02137903,"domain_scores_codex":[0.9991781,0.00009552424,0.00001322423,0.00008697864,0.0004326725,0.0001934574],"domain_scores_gemma":[0.9990339,0.0001308774,0.00005782079,0.00009122062,0.0004311561,0.0002550304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008106894,0.000125514,0.0006770099,0.0004885186,0.00001168211,0.0003062379,0.0002303213,0.001922587,0.00430772,0.308203,0.3866943,0.2969522],"study_design_scores_gemma":[0.00000413737,0.00001526444,0.000559455,0.0001455887,0.000002092662,0.00007627564,0.0002653885,0.001125209,0.001518779,0.03463735,0.9616396,0.00001095515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004817552,0.009641174,0.01519684,0.0335943,0.004394954,0.00006460684,0.0009364195,0.0006862422,0.9306679],"genre_scores_gemma":[0.1167161,0.01770922,0.01518098,0.008390848,0.002075316,0.0001049928,0.002925091,0.001470415,0.8354271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08254886,"threshold_uncertainty_score":0.2761534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223840993449164,"score_gpt":0.3071587907531311,"score_spread":0.2847746914082147,"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."}}