{"id":"W4415207307","doi":"10.1088/2753-3751/ae0b72","title":"Assessing the cost and resource requirements of converting carbon dioxide into synthetic aviation fuels","year":2025,"lang":"en","type":"article","venue":"Environmental Research Energy","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada; Carleton University","keywords":"Aviation; Aviation fuel; Capital cost; Cost of electricity by source; Electricity; Resource (disambiguation); Electricity generation; Range (aeronautics); Integrated gasification combined cycle","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006614829,0.0001201546,0.0001460379,0.0002007747,0.00007134752,0.00003749101,0.0002467791,0.00009563415,0.000009374767],"category_scores_gemma":[0.0002321999,0.0001024995,0.0000306929,0.0002348943,0.0004464021,0.0001085686,0.0003333288,0.0002697654,0.000001050781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000390734,"about_ca_system_score_gemma":0.00001194597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001114093,"about_ca_topic_score_gemma":0.00002137541,"domain_scores_codex":[0.9987027,0.0001289729,0.0002371643,0.0002080291,0.0004222642,0.0003008477],"domain_scores_gemma":[0.9991945,0.0003528828,0.00003425394,0.0003730002,0.000007396019,0.00003796056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008628012,0.00002264704,0.003640664,0.00006526963,0.00005516057,0.00000582948,0.0002077125,0.001034799,0.9114562,0.002084534,0.0000645141,0.08135401],"study_design_scores_gemma":[0.0003074546,0.00003148702,0.01380645,0.0001866376,0.00001732521,0.00000303671,0.002958757,0.008043645,0.9638845,0.004470034,0.006130074,0.0001605807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884436,0.003139736,0.0004714081,0.0002801592,0.00005521499,0.0001611646,0.000001716813,0.000108051,0.007338907],"genre_scores_gemma":[0.9991807,0.0004604766,0.00006087122,0.00002394953,0.00001494596,0.0000612492,0.000004644692,0.00002153843,0.0001716029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08119343,"threshold_uncertainty_score":0.4179808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292623116812677,"score_gpt":0.2988428992344236,"score_spread":0.2759166680662968,"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."}}