{"id":"W4210515177","doi":"10.1021/acsomega.1c06691","title":"Optimizing Bleaching Operating Conditions Based on Mathematical Programming to Reduce AOX Emissions","year":2022,"lang":"en","type":"article","venue":"ACS Omega","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"JDSU (Canada); University of British Columbia; Tri Y Environmental Research Institute (Canada)","funders":"Natural Science Foundation of Guangxi Province","keywords":"Pulp (tooth); Bleach; Chlorine; Chlorine dioxide; Pulp and paper industry; Halogen; Chemistry; Wastewater; Environmental science; Process engineering; Environmental engineering; Engineering; 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":[0.0001761246,0.0001429517,0.000140478,0.00007338304,0.0004870482,0.0000826939,0.0002036704,0.00003801488,0.00006879314],"category_scores_gemma":[0.00008456331,0.0001524652,0.0000504762,0.0002451852,0.00001169768,0.00006016955,0.00009224489,0.0004024356,0.0000302299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264936,"about_ca_system_score_gemma":0.00002886108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001902455,"about_ca_topic_score_gemma":1.606835e-7,"domain_scores_codex":[0.9990546,0.00002231137,0.000202801,0.0001915163,0.0002290248,0.0002998174],"domain_scores_gemma":[0.9994221,0.0001221907,0.00001816322,0.000264785,0.00001421982,0.0001585066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002991776,0.0001437631,0.00003270249,0.0001285283,0.00003345115,0.00003618967,0.001802769,0.511936,0.4718613,0.0005838086,0.01171115,0.001727368],"study_design_scores_gemma":[0.0009065002,0.0001706044,0.00001495684,0.000405454,0.00005421399,0.00005863657,0.003907562,0.1818911,0.7869131,0.0003349437,0.02442322,0.0009196582],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519762,0.00006657391,0.005546888,0.001143413,0.0003503658,0.0005084267,0.0000549831,0.001208271,0.03914481],"genre_scores_gemma":[0.9708422,4.446015e-7,0.02811452,0.0002695145,0.00009008406,0.0002420246,0.00004208248,0.00004670503,0.0003524452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3300449,"threshold_uncertainty_score":0.621735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443884171261855,"score_gpt":0.2607089128513465,"score_spread":0.246270071138728,"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."}}