{"id":"W2333846777","doi":"10.1021/sc400013e","title":"Producing Bark-based Polyols through Liquefaction: Effect of Liquefaction Temperature","year":2013,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"FPInnovations","keywords":"Liquefaction; Chemistry; Polyol; Gel permeation chromatography; Organic chemistry; Hydroxyl value; Fourier transform infrared spectroscopy; Solvent; Bark (sound); Polyethylene glycol; Polymer chemistry; Polymer; Chemical engineering","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":[0.000115012,0.0007920454,0.0002718994,0.000298231,0.0001027965,0.0002520745,0.0001480271,0.0002530415,0.0006133752],"category_scores_gemma":[0.0001376061,0.0001564486,0.0002597613,0.0003553751,0.000171374,0.0005061132,0.0002436948,0.0005902534,0.0002416119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001916594,"about_ca_system_score_gemma":0.0001312888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003602161,"about_ca_topic_score_gemma":0.0008313218,"domain_scores_codex":[0.9999186,0.000007923063,0.000008848227,0.00002409808,0.00002092252,0.00001956159],"domain_scores_gemma":[0.9998709,0.00001930906,0.0000554098,0.000008012421,0.00002056531,0.00002574422],"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":[0.00002716176,0.000007644271,0.00005926556,0.00004046053,0.00000270595,0.00002128293,0.00000776001,0.00008338485,0.9988585,0.00001329104,0.000003464033,0.0008750813],"study_design_scores_gemma":[0.000002072395,0.00006247677,0.0005444503,0.000005159862,0.000006480613,0.00002222233,0.000007468229,0.0003919926,0.9986009,0.000007704179,0.0003465063,0.000002727684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897154,0.001627886,0.007429447,0.00003702389,0.00002525718,0.00003466826,0.00017082,0.00008122563,0.0008783192],"genre_scores_gemma":[0.9888145,0.001645245,0.007412682,0.00004263745,0.000008349341,0.0000432601,0.0002757486,0.00004800968,0.001709581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007920454,"threshold_uncertainty_score":0.00205189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001998130074170142,"score_gpt":0.1770061858146472,"score_spread":0.1750080557404771,"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."}}