{"id":"W2475660820","doi":"10.1021/bk-2001-0785.ch009","title":"Bleaching of High-Yield Lignocellulosic Pulps with Peroxygen Reagents","year":2001,"lang":"en","type":"book-chapter","venue":"ACS symposium series","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy","funders":"","keywords":"Peracetic acid; Hydrogen peroxide; Pulp and paper industry; Pulp (tooth); Chemistry; Yield (engineering); Straw; Reagent; Peroxide; Organic chemistry; Materials science; Composite material; Inorganic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009286364,0.000398693,0.0001924045,0.0002748624,0.0001090042,0.0002965675,0.0003082913,0.0001900571,0.002652807],"category_scores_gemma":[0.00005213729,0.0001995738,0.0001550366,0.0002239312,0.0001236563,0.0004629574,0.0001629331,0.0005918034,0.002253756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457151,"about_ca_system_score_gemma":0.0001192152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001520039,"about_ca_topic_score_gemma":0.0005585023,"domain_scores_codex":[0.9999712,0.000001946478,0.000001346451,0.000006755409,0.00001522648,0.000003626689],"domain_scores_gemma":[0.9999777,0.000007407728,0.00000299077,0.000003256174,0.000005537464,0.000003190679],"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":[0.00001860598,0.00004341654,0.00004323688,0.0004827094,0.000005539073,0.0001128142,0.00005073614,0.0004074558,0.8798382,0.004128229,0.002685692,0.1121834],"study_design_scores_gemma":[0.000006700898,0.0001168085,0.0005224691,0.00003289004,0.00001169989,0.0004628515,0.00001913605,0.0008967267,0.8605977,0.001662492,0.135661,0.000009621442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2643314,0.09616641,0.4015346,0.001078309,0.0009469578,0.0002659872,0.0008563427,0.003718084,0.231102],"genre_scores_gemma":[0.2711555,0.07330363,0.1539475,0.0004387214,0.0001733878,0.0001672608,0.00171303,0.0006483527,0.4984526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002652807,"threshold_uncertainty_score":0.008874476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00804452760804584,"score_gpt":0.1671348726509495,"score_spread":0.1590903450429036,"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."}}