{"id":"W3132731571","doi":"10.15376/biores.16.2.2524-2547","title":"An integrated approach for hemicellulose extraction from forest residue","year":2021,"lang":"en","type":"article","venue":"BioResources","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Australian Research Council","keywords":"Hemicellulose; Extraction (chemistry); Pulp and paper industry; Residue (chemistry); Materials science; Xylan; Sawdust; Chemistry; Chromatography; Lignin; Cellulose; Waste management; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00006744428,0.0001150271,0.0001003623,0.00004664068,0.00006749988,0.00006090117,0.00009025092,0.0001347697,0.00009404463],"category_scores_gemma":[0.00001555973,0.0001044145,0.00005195866,0.0001297306,0.00002760789,0.000115925,0.000009979593,0.0001044791,0.0000153185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003135635,"about_ca_system_score_gemma":0.0000110233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007391092,"about_ca_topic_score_gemma":0.00002250417,"domain_scores_codex":[0.9993837,0.00002197662,0.0001278548,0.0002451905,0.00008108818,0.0001402264],"domain_scores_gemma":[0.9996191,0.0000198485,0.00002256798,0.0002172481,0.00005200017,0.0000692433],"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":[0.00009631816,0.0001615433,0.004461517,0.0001739541,0.00006317627,0.00000426281,0.0004588239,0.003073232,0.9634135,0.00003405414,0.01330673,0.01475292],"study_design_scores_gemma":[0.0003973763,0.00003553251,0.00305278,0.00001275077,0.00002722607,0.000006740453,0.001477022,0.06312789,0.6425898,0.00007614883,0.2889663,0.0002303868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616764,0.001083136,0.03502239,0.0000994311,0.0004197006,0.0001727129,0.00007321905,0.0004488547,0.001004133],"genre_scores_gemma":[0.9813915,0.00005678404,0.01669968,0.00004704448,0.0004921274,0.00001880339,0.0008991915,0.0000267724,0.0003680413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3208237,"threshold_uncertainty_score":0.4257901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476201532994214,"score_gpt":0.221044559349053,"score_spread":0.2062825440191109,"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."}}