{"id":"W2989548406","doi":"10.1007/s12649-019-00876-7","title":"Production of Bio-based Polyol from Oxypropylated Pyrolytic Lignin for Rigid Polyurethane Foam Application","year":2019,"lang":"en","type":"article","venue":"Waste and Biomass Valorization","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Grain Research Centre; Centre Technologique des Résidus Industriels; Cégep de l'Abitibi Témiscamingue; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lignin; Polyurethane; Polyol; Materials science; Hydroxyl value; Fourier transform infrared spectroscopy; Pyrolytic carbon; Propylene oxide; Composite material; Pyrolysis; Chemical engineering; Polymer; Organic chemistry; Ethylene oxide; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005805213,0.0001226256,0.0001413565,0.00006888889,0.00002527228,0.0000151415,0.00005616034,0.0001252321,0.000003081584],"category_scores_gemma":[0.000009012188,0.0001174213,0.00003603653,0.0002127469,0.00001932109,0.00009118061,0.000007378412,0.00003572319,0.000006917221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002578399,"about_ca_system_score_gemma":0.00001689419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002211097,"about_ca_topic_score_gemma":0.000001588704,"domain_scores_codex":[0.9993488,0.000006683687,0.0002063573,0.0002112328,0.0001042404,0.0001226975],"domain_scores_gemma":[0.999625,0.00002225574,0.0000704915,0.0001817219,0.00006189748,0.00003863884],"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":[0.00001963978,0.00002189317,0.001870656,0.0002678664,0.00002871398,5.77374e-8,0.00004376668,0.0002175179,0.9960483,0.00002860474,0.0003870402,0.001065969],"study_design_scores_gemma":[0.0005843512,0.00005470634,0.0002477761,0.00004602865,0.00004040032,4.276748e-7,0.0000429991,0.0311512,0.9672658,0.0001519902,0.0002765768,0.0001377383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919868,0.0001983822,0.006385056,0.00008620015,0.0004170478,0.0005250573,0.00004401928,0.0001727731,0.0001846985],"genre_scores_gemma":[0.9983863,0.00001316127,0.0006212257,0.00001001421,0.0002167996,0.00003436869,0.0005870191,0.00002669846,0.0001044033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03093369,"threshold_uncertainty_score":0.47883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004923752444378546,"score_gpt":0.1865607602791615,"score_spread":0.181637007834783,"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."}}