{"id":"W4393232550","doi":"10.1021/acs.energyfuels.4c00232","title":"Enhancing Efficiency of Coprocessing Forest Residue Derived HTL Biocrude with Vacuum Gas Oil: An Integrated Pretreatment Approach","year":2024,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Canadian Forest Service","keywords":"Chemistry; Vacuum distillation; Distillation; Hydrothermal liquefaction; Boiling point; Pulp and paper industry; Toluene; Solvent; Chemical engineering; Organic chemistry; Catalysis; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008314892,0.0002875843,0.0002720667,0.0001704356,0.00005444838,0.00007811661,0.000240435,0.0001251034,0.00005356607],"category_scores_gemma":[0.00001508434,0.0002188315,0.00005391744,0.0006893799,0.00008795335,0.0002392394,0.00003705196,0.0001302564,0.000005711673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174424,"about_ca_system_score_gemma":0.0001048378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008046722,"about_ca_topic_score_gemma":0.00007051801,"domain_scores_codex":[0.9987307,0.00002438711,0.0002884472,0.0003881933,0.0002386704,0.000329641],"domain_scores_gemma":[0.9994119,0.0000651753,0.00004464609,0.000273253,0.000080859,0.0001241729],"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":[0.00003453184,0.00006969656,0.00005897051,0.0007062424,0.00009980916,0.0000232442,0.0004929109,0.0008559371,0.9875416,0.0002348912,0.00002528522,0.009856855],"study_design_scores_gemma":[0.0002313515,0.0001139619,0.00003120007,0.000459847,0.00005287173,0.00001812578,0.0003019222,0.002804013,0.9953631,0.0000749144,0.0002920194,0.0002567006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669212,0.003096473,0.0273119,0.0000164737,0.000108869,0.00004673682,0.00001068223,0.0006517618,0.00183591],"genre_scores_gemma":[0.9935971,0.00009885218,0.005814352,0.00001294496,0.00004422635,0.00004012325,0.00006675336,0.00007449547,0.0002511363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02667593,"threshold_uncertainty_score":0.8923691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006653579918863422,"score_gpt":0.2001098665240716,"score_spread":0.1934562866052081,"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."}}