{"id":"W4403014835","doi":"10.1016/j.scitotenv.2024.176250","title":"Corrigendum to “Impact of several sludge dewatering conditioners on municipal sludge pyrolysis properties, kinetics, by-products, and environmental risk assessment” [Sci. Total Environ. 951 (2024)1-18 / 175653]","year":2024,"lang":"en","type":"erratum","venue":"The Science of The Total Environment","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dewatering; Pyrolysis; Environmental science; Waste management; Conditioners; Environmental engineering; Engineering; Geotechnical engineering","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001021578,0.000689786,0.0006466574,0.0002196156,0.0006134242,0.0001695755,0.001456198,0.0001811309,0.002381812],"category_scores_gemma":[0.00009550872,0.0003839903,0.0002637764,0.0004949627,0.002898394,0.000321506,0.0008803882,0.001005663,0.0002009394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002591274,"about_ca_system_score_gemma":0.0002109636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002982509,"about_ca_topic_score_gemma":0.00002199224,"domain_scores_codex":[0.9951051,0.0002407296,0.0006815254,0.001273877,0.001832295,0.0008664326],"domain_scores_gemma":[0.9976953,0.00004204525,0.0004885205,0.001451822,0.00001526902,0.0003070618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003688743,0.0006018201,0.001199533,0.00033687,0.0006905171,0.00001442282,0.003581405,0.2444255,0.2830528,0.00001507422,0.4609813,0.00473193],"study_design_scores_gemma":[0.00174766,0.01014601,0.7398317,0.001169921,0.002328054,0.0003483454,0.003546666,0.08267286,0.09088505,0.0004540775,0.06206021,0.004809453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977833,0.002665896,0.000003943381,0.0009636947,0.01083021,0.001058866,0.003972121,0.00002384104,0.002648438],"genre_scores_gemma":[0.8980937,0.0008943781,0.00009510761,0.00004102137,0.0004273607,0.0000106621,0.0002993307,0.00003030709,0.1001081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7386321,"threshold_uncertainty_score":0.9998612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752425113250857,"score_gpt":0.2129415606551553,"score_spread":0.1954173095226468,"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."}}