{"id":"W4402596739","doi":"10.1080/09593330.2024.2404648","title":"Improving the anaerobic digestion of sewage sludge by adding cobalt nanoparticles","year":2024,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Anaerobic digestion; Sewage sludge; Cobalt; Digestion (alchemy); Chemistry; Waste management; Sewage; Sewage sludge treatment; Environmental science; Pulp and paper industry; Sewage treatment; Environmental chemistry; Environmental engineering; Methane; Chromatography; Engineering; Inorganic chemistry","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":[0.0001607541,0.0003416336,0.0003062314,0.0002018404,0.0001344617,0.0003901731,0.0001717853,0.0003242173,0.0004580233],"category_scores_gemma":[0.0002263769,0.000123583,0.0002577055,0.0001150913,0.0002072095,0.0002405493,0.0002381606,0.0002481868,0.0001245768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003248308,"about_ca_system_score_gemma":0.0002478063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409062,"about_ca_topic_score_gemma":0.002850587,"domain_scores_codex":[0.9998106,0.00002773848,0.00001913829,0.00004559498,0.00005658543,0.00004022799],"domain_scores_gemma":[0.9998968,0.00002165728,0.00002220021,0.000007892633,0.00003467745,0.00001676774],"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":[0.00008379069,0.00003563418,0.0002015374,0.00009605899,0.000007769407,0.00002361528,0.000009796999,0.0001994284,0.9957912,0.00002476059,0.00002250899,0.003503879],"study_design_scores_gemma":[0.000005038969,0.0002086804,0.000702,0.000004470658,0.00001524578,0.00002573847,0.00001005225,0.0006300664,0.9975227,0.000008142352,0.0008650412,0.000002992845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939064,0.001253809,0.002948237,0.0000958952,0.0000454712,0.00003677081,0.00004343214,0.00005826836,0.001611574],"genre_scores_gemma":[0.9942039,0.0006912263,0.003762827,0.00004214512,0.000011817,0.00001317829,0.00005535688,0.00001592862,0.001203672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001409062,"threshold_uncertainty_score":0.002801716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003394727377807174,"score_gpt":0.1730764614887482,"score_spread":0.1696817341109411,"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."}}