{"id":"W4413009839","doi":"10.1016/j.fuel.2025.136451","title":"Carboxyalkylated lignin derived coal wastewater slurry","year":2025,"lang":"en","type":"article","venue":"Fuel","topic":"Coal Combustion and Slurry Processing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Science Foundation of Inner Mongolia; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Inner Mongolia University of Science and Technology","keywords":"Slurry; Lignin; Pulp and paper industry; Coal; Wastewater; Environmental science; Coal slurry; Waste management; Chemistry; Organic chemistry; Environmental engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001402059,0.0002515415,0.0001740176,0.0002002753,0.00009782887,0.000233846,0.0001829632,0.0002872277,0.0007735828],"category_scores_gemma":[0.0001686201,0.00009771839,0.0001858047,0.0002117656,0.00008849343,0.0002615439,0.0002222141,0.0004203962,0.0002740507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709293,"about_ca_system_score_gemma":0.0001653004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005245716,"about_ca_topic_score_gemma":0.001504118,"domain_scores_codex":[0.9998652,0.0000162147,0.00001472179,0.00002792929,0.00005580563,0.00002008146],"domain_scores_gemma":[0.9999386,0.000009380281,0.00001854701,0.00000464517,0.00002067151,0.000008114828],"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":[0.00001848903,0.00001446552,0.0001341945,0.00007091328,0.000002506342,0.00004227993,0.000009112982,0.0001130199,0.9965438,0.00005959783,0.00002971371,0.002961888],"study_design_scores_gemma":[0.000002654698,0.00009332805,0.0005184642,0.000005805128,0.000005420007,0.00004135941,0.00001355497,0.0006034634,0.9971769,0.00002331606,0.001513438,0.000002333438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980609,0.001596579,0.01416955,0.0001121929,0.00005210995,0.00007077376,0.000279215,0.0001091912,0.003001292],"genre_scores_gemma":[0.9873711,0.0009575126,0.00866731,0.00005802772,0.000008867265,0.0000354058,0.0002924284,0.0000226372,0.002586778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007735828,"threshold_uncertainty_score":0.002587855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007438454918255445,"score_gpt":0.2136673329250292,"score_spread":0.2062288780067737,"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."}}