{"id":"W2703239029","doi":"10.1021/acs.energyfuels.7b01251","title":"Evolution of Functional Groups during Pyrolysis Oil Upgrading","year":2017,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Office of Energy Efficiency and Renewable Energy; National Institute of Food and Agriculture; Fulbright Association; BioFuelNet Canada","keywords":"Chemistry; Phenol; Titration; Fraction (chemistry); Pyrolysis; Proton NMR; Catalysis; Dehydration; Organic chemistry; Aqueous solution; Phenols; Carbon-13 NMR; Nuclear chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009460225,0.0002729019,0.0001480031,0.0001859403,0.0001056525,0.000179276,0.0001550304,0.0001882266,0.0007074003],"category_scores_gemma":[0.000145443,0.00009403993,0.000185372,0.0001416201,0.0001554914,0.0003035673,0.0001406102,0.0002729139,0.0001399952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543013,"about_ca_system_score_gemma":0.00009355595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006882797,"about_ca_topic_score_gemma":0.0009004535,"domain_scores_codex":[0.9999144,0.00000610097,0.000003777673,0.00001767901,0.00003259443,0.0000254596],"domain_scores_gemma":[0.99994,0.00001176496,0.00001638852,0.00000358717,0.00001792828,0.00001039415],"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":[0.00005188274,0.000004792128,0.0003831543,0.00002502722,0.000002934391,0.00003446705,0.00001857864,0.00006576492,0.9982918,0.00001244169,0.000005976905,0.001103119],"study_design_scores_gemma":[0.000001532342,0.00009769192,0.003172102,0.000002387881,0.000005689096,0.00003742449,0.00003163834,0.0004032047,0.9958455,0.00001585765,0.0003840324,0.000002875394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976059,0.0003898219,0.00137018,0.00001636034,0.000008694325,0.000008579881,0.0000958606,0.00002292909,0.0004816638],"genre_scores_gemma":[0.9980577,0.0002708454,0.0008785255,0.00001289975,0.000003195255,0.000006677443,0.0001152727,0.00001161981,0.000643209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007074003,"threshold_uncertainty_score":0.002366424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00769093842517739,"score_gpt":0.18577743233932,"score_spread":0.1780864939141426,"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."}}