{"id":"W2025088134","doi":"10.1021/ie990190q","title":"Hardwood Lignin Recovery Using Generator Waste Acid. Statistical Analysis and Simulation","year":2000,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Black liquor; Pulp and paper industry; Lignin; Kraft paper; Kraft process; Hardwood; Chemistry; Chlorine dioxide; Yield (engineering); Waste management; Organic chemistry; Materials science; Botany","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":[0.001942694,0.0003815937,0.0005241663,0.0005893158,0.0002851515,0.0005282628,0.0005666486,0.0004519749,0.002121376],"category_scores_gemma":[0.003446212,0.0002359623,0.00101518,0.0006477939,0.0002009697,0.0004288496,0.0002476401,0.000590633,0.0003112743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006347474,"about_ca_system_score_gemma":0.000886779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006104687,"about_ca_topic_score_gemma":0.004512746,"domain_scores_codex":[0.9996372,0.0001492975,0.00002427444,0.00007977687,0.00006508672,0.00004423544],"domain_scores_gemma":[0.9978109,0.001587379,0.0002220605,0.0001594368,0.0001883466,0.00003198667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005090828,0.0002336013,0.01530911,0.0001439734,0.0001594627,0.0000889586,0.00007272169,0.9377068,0.005920373,0.004797842,0.0007600884,0.03429805],"study_design_scores_gemma":[0.00001583795,0.0001055235,0.002015765,0.000003269543,0.0000179864,0.00001477132,0.00001452205,0.9935862,0.002876961,0.0008875385,0.0004548786,0.000006738933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7153569,0.0001877912,0.2784305,0.0001462242,0.00003284313,0.00032389,0.002033762,0.001310885,0.002177177],"genre_scores_gemma":[0.9344079,0.000126591,0.06208014,0.00003365097,0.00001093662,0.0005266013,0.001279252,0.00007550945,0.001459475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006104687,"threshold_uncertainty_score":0.01213831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05986467212881894,"score_gpt":0.3125633382883342,"score_spread":0.2526986661595152,"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."}}