{"id":"W4312796342","doi":"10.1039/d2re00374k","title":"Physico-chemical interactions within lignocellulosic biomass and their importance in developing solvent based deconstruction methods","year":2022,"lang":"en","type":"article","venue":"Reaction Chemistry & Engineering","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; University of Alberta","keywords":"Lignocellulosic biomass; Deconstruction (building); Biomass (ecology); Solvent; Chemistry; Biochemical engineering; Pulp and paper industry; Organic chemistry; Waste management; Lignin; Engineering; Agronomy; Biology","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":[0.0002031675,0.0001901631,0.0001597113,0.0001016829,0.0000788917,0.00002304433,0.00007332509,0.00006323874,0.00005384911],"category_scores_gemma":[0.000017187,0.0002167213,0.00005452253,0.0003327302,0.00001867684,0.0001508806,0.00004278875,0.0004282364,0.000001336891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005275942,"about_ca_system_score_gemma":0.00002631859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007894801,"about_ca_topic_score_gemma":5.412437e-7,"domain_scores_codex":[0.9991627,0.00001516648,0.000272053,0.0002730746,0.0000891326,0.0001878117],"domain_scores_gemma":[0.9996713,0.00004009863,0.00005751313,0.000152573,0.00001754774,0.00006092525],"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":[0.000007251929,0.00001650379,0.0001347098,0.0001940268,0.00001892379,0.000001696965,0.00007998093,0.009094483,0.9888998,0.00001101644,0.00004038719,0.001501221],"study_design_scores_gemma":[0.0001978364,0.00000336552,0.0001051377,0.00002632515,0.000005995262,0.00008880987,0.000281517,0.1641017,0.8245763,0.00001770744,0.01038793,0.0002073887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771876,0.0002399713,0.02091049,0.000182792,0.0008110867,0.0001086893,0.000006864449,0.0003878686,0.0001646308],"genre_scores_gemma":[0.9916595,0.00002312044,0.008020138,0.00001838681,0.0001245585,0.00006130126,0.00004340187,0.0000321726,0.00001746502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1643235,"threshold_uncertainty_score":0.8837639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208508076446947,"score_gpt":0.2355412974852688,"score_spread":0.2234562167207994,"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."}}