{"id":"W4408070060","doi":"10.1002/cssc.202402509","title":"Sustainable Graphite and Jet Fuel from Biorefinery Residue","year":2025,"lang":"en","type":"article","venue":"ChemSusChem","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carbon Engineering (Canada)","funders":"Bioenergy Technologies Office","keywords":"Jet fuel; Aviation fuel; Raw material; Graphite; Waste management; Materials science; Fossil fuel; Renewable energy; Fuel oil; Renewable fuels; Environmental science; Chemistry; Organic chemistry; Metallurgy; 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":[],"consensus_categories":[],"category_scores_codex":[0.00004894187,0.0001638648,0.0001675732,0.0001062168,0.00003840984,0.00003759133,0.0001579552,0.0001362543,0.00009930776],"category_scores_gemma":[0.00006147687,0.0001597724,0.00003799738,0.0003888024,0.00007107587,0.0001084422,0.0001043584,0.0001318379,0.00001768099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003816344,"about_ca_system_score_gemma":0.00002041027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004631878,"about_ca_topic_score_gemma":0.000003592246,"domain_scores_codex":[0.9993033,0.000004504719,0.0001444573,0.0002224828,0.00006581572,0.0002594587],"domain_scores_gemma":[0.9995443,0.00008201839,0.00001591914,0.0002373733,0.00004461466,0.00007572352],"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":[0.00001964602,0.00001417251,0.002729285,0.0005684834,0.00007626833,0.00001409345,0.0001161408,0.000001835543,0.9767426,0.001965913,0.0166174,0.001134207],"study_design_scores_gemma":[0.000359301,0.000003865899,0.000855078,0.00004008397,0.00002123901,7.028733e-7,0.0003133641,0.00005463103,0.9537796,0.006240959,0.03815283,0.0001782971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784598,0.006376389,0.00009659507,0.0003692054,0.0001103204,0.00007826251,0.00001103293,0.0004489805,0.01404938],"genre_scores_gemma":[0.9972052,0.0002327948,0.0005093645,0.000123555,0.00003767581,0.00001643029,0.00002213555,0.00002066009,0.001832195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0229629,"threshold_uncertainty_score":0.6515331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003804720548069199,"score_gpt":0.1850957849402402,"score_spread":0.181291064392171,"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."}}