{"id":"W4317632366","doi":"10.2514/6.2023-2328","title":"Cost estimation of the use of low-carbon fuels in prospective scenarios for air transport","year":2023,"lang":"en","type":"article","venue":"AIAA SCITECH 2023 Forum","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Baptist Seminary and Bible College","funders":"","keywords":"Environmental science; Aviation; Production (economics); Greenhouse gas; Carbon fibers; Capital cost; Revenue; Environmental economics; Natural resource economics; Computer science; Engineering; Business; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001575536,0.0001020753,0.0001585244,0.00008784143,0.00005116936,0.000003143603,0.0002533921,0.00008770616,0.00001487792],"category_scores_gemma":[0.0001484651,0.00007749234,0.00006909423,0.001128571,0.0002777919,0.000201593,0.0001011037,0.0001001717,0.000009635283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009273443,"about_ca_system_score_gemma":0.00001354015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000137911,"about_ca_topic_score_gemma":0.0004593731,"domain_scores_codex":[0.9990388,0.00001130548,0.0002448001,0.0002236062,0.0002185983,0.0002629453],"domain_scores_gemma":[0.9994799,0.00009578228,0.0001100673,0.0002842789,0.00001191974,0.00001807012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001385033,0.0001919364,0.5614894,0.0001296865,0.00002216874,0.000006192438,0.0006419604,0.3059193,0.08240364,0.001406985,0.001012508,0.04663768],"study_design_scores_gemma":[0.001125668,0.0002419625,0.5800724,0.0002421107,0.00001910856,0.00000183279,0.0005705239,0.09359782,0.2776117,0.04499064,0.001210818,0.000315383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877109,0.000007959827,0.009185407,0.0009482774,0.00009828073,0.001642563,0.00006149765,0.0001395292,0.0002055834],"genre_scores_gemma":[0.9963279,0.00001047373,0.002988873,0.00003830767,0.000002430191,0.0001685293,0.000006666445,0.00001281876,0.0004439433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2123215,"threshold_uncertainty_score":0.3160046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02885692149098108,"score_gpt":0.2568178721931462,"score_spread":0.2279609507021651,"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."}}