{"id":"W3124993896","doi":"10.1007/s12649-020-01335-4","title":"Coagulation Efficiency of Biomass Fly Ash Leachate in Thermomechanical Pulping (TMP) Pressate","year":2021,"lang":"en","type":"article","venue":"Waste and Biomass Valorization","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Alum; Fly ash; Pulp and paper industry; Chemistry; Coagulation; Leachate; Chemical oxygen demand; Chemical engineering; Nuclear chemistry; Materials science; Waste management; Wastewater; Environmental chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001024958,0.000104529,0.0001399891,0.00006577516,0.00002655101,0.00002403677,0.00005237222,0.0001093994,0.000005891112],"category_scores_gemma":[0.00001415839,0.0001042979,0.00002876433,0.0003506851,0.00001784927,0.0001055727,0.00003093508,0.00005128947,0.000001674743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002123172,"about_ca_system_score_gemma":0.00001435014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001112728,"about_ca_topic_score_gemma":0.000007842374,"domain_scores_codex":[0.9992937,0.00002256973,0.0002453861,0.0001646296,0.0001282794,0.0001454392],"domain_scores_gemma":[0.9997399,0.00002087011,0.00004198527,0.0001184152,0.00004324811,0.00003558671],"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":[0.000002955694,0.00002514702,0.001617927,0.000225727,0.00001321344,0.000004663963,0.000157987,0.0002907956,0.9965297,0.0001742449,0.0000269121,0.0009307266],"study_design_scores_gemma":[0.0003735019,0.00001561499,0.0008509996,0.00007632047,0.00001231295,0.000004124435,0.0001007208,0.03198794,0.9661964,0.0002176422,0.00004625165,0.0001181902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909306,0.0004348999,0.007040185,0.00003430143,0.0002001149,0.00007692551,0.000007740365,0.00006894966,0.001206304],"genre_scores_gemma":[0.9995599,0.00006827343,0.0001546591,0.000004762978,0.000061422,0.000004571765,0.00007524023,0.00001587461,0.00005529906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03169715,"threshold_uncertainty_score":0.4253146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017060385324599,"score_gpt":0.2028148665688859,"score_spread":0.1926442627156399,"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."}}