{"id":"W4406417806","doi":"10.1080/09593330.2024.2423905","title":"Chemical conditioning approach to post-treat temperature-phased anaerobic digestate to improve resource recovery, odour reduction and biosolids quality","year":2025,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biosolids; Dewatering; Digestate; Pulp and paper industry; Chemistry; Volume (thermodynamics); Waste management; Anaerobic digestion; Environmental engineering; Environmental science; Methane; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001345923,0.0003739739,0.0002438224,0.0002549468,0.0001417243,0.00028794,0.0001651534,0.0003181794,0.001044911],"category_scores_gemma":[0.0001262965,0.0001224204,0.0003771208,0.0002057675,0.0001472223,0.0003093297,0.0001738408,0.0004818104,0.0002800961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002211027,"about_ca_system_score_gemma":0.0002422083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005430862,"about_ca_topic_score_gemma":0.001114482,"domain_scores_codex":[0.9998477,0.00001627686,0.00001303161,0.00003807107,0.0000598354,0.00002516815],"domain_scores_gemma":[0.9999052,0.00001003948,0.00004433828,0.000007198114,0.0000219449,0.00001122494],"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":[0.00003808274,0.00003693624,0.0001556842,0.00006050219,0.000004994797,0.00001987668,0.000005868428,0.00009665815,0.9965779,0.00002558803,0.00001700008,0.002960837],"study_design_scores_gemma":[0.000003736404,0.0003536989,0.001542441,0.000005732598,0.00001341982,0.00007137263,0.00001121342,0.0005586233,0.996128,0.00001447721,0.001293544,0.000003808107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790716,0.002208067,0.0161029,0.0001019172,0.00005360633,0.00008535704,0.0001258035,0.0001003823,0.002150493],"genre_scores_gemma":[0.9810882,0.001471636,0.01466388,0.00009426262,0.00001656812,0.0000434422,0.0001123457,0.00002017,0.002489506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001044911,"threshold_uncertainty_score":0.003495514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005598880807032297,"score_gpt":0.2205506640443217,"score_spread":0.2149517832372894,"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."}}