{"id":"W3208222961","doi":"10.1021/acs.energyfuels.1c02547","title":"Detailed Characterization of Diesel Fractions from Co-Hydroprocessing Vegetable Oil and Petroleum Heavy Vacuum Gas Oil Blends","year":2021,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; Government of Canada","keywords":"Diesel fuel; Heptadecane; Vegetable oil refining; Chemistry; Fuel oil; Canola; Octadecane; Organic chemistry; Waste management; Catalysis; Biodiesel; Food science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110397,0.0003247806,0.0002421758,0.0008652345,0.0001909366,0.0002621216,0.0001811426,0.0001387128,0.0008716857],"category_scores_gemma":[0.0001924861,0.0000909028,0.0002164489,0.0006627988,0.0001403541,0.0003040353,0.0002335002,0.0001916304,0.00018891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991518,"about_ca_system_score_gemma":0.0002382478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002730244,"about_ca_topic_score_gemma":0.005392569,"domain_scores_codex":[0.9998488,0.000008696404,0.00001147708,0.00003261019,0.00006731462,0.00003098379],"domain_scores_gemma":[0.9999014,0.00001651006,0.00001584337,0.000007083221,0.00004539666,0.00001370891],"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":[0.0001145763,0.00002178567,0.002256763,0.00006241863,0.000009185138,0.00008354734,0.0000300376,0.0001128637,0.9933376,0.00003957914,0.000009656736,0.003921933],"study_design_scores_gemma":[0.000003998494,0.0001465434,0.0139556,0.000007819091,0.00002443453,0.0001290612,0.0001202992,0.0004607772,0.9831805,0.0000299829,0.001933946,0.000007088659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960128,0.0008662029,0.001905882,0.000007396342,0.000007733934,0.00002528605,0.0003206585,0.00001528936,0.0008388671],"genre_scores_gemma":[0.9924568,0.001001575,0.003301357,0.00001916135,0.000004114429,0.00003300051,0.001146758,0.00003797245,0.001999149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002730244,"threshold_uncertainty_score":0.005428731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008227816963589481,"score_gpt":0.2099908775360668,"score_spread":0.2017630605724773,"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."}}