{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008363491,0.0001016959,0.00008256175,0.00008521285,0.00005004098,0.00001462834,0.0001117398,0.0001028873,0.00008535046],"category_scores_gemma":[0.000007623858,0.00008065732,0.00003103044,0.000186493,0.0001868524,0.00009903466,0.00004672311,0.000162531,0.00008457377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009248192,"about_ca_system_score_gemma":0.000002940796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007434166,"about_ca_topic_score_gemma":0.000002174371,"domain_scores_codex":[0.9994365,0.000009861838,0.0001533283,0.0001628467,0.00007859806,0.0001588578],"domain_scores_gemma":[0.9997801,0.00001315181,0.0000204558,0.0001663922,0.000001368409,0.00001851402],"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":[0.000001434896,0.00001538996,0.0002545558,0.00001048857,0.00001756275,0.000002195392,0.00004240718,0.0001533859,0.9614378,0.005700309,0.001482054,0.03088241],"study_design_scores_gemma":[0.00008665842,0.00006705576,0.000482348,0.00002546275,0.00002286108,0.00002793911,0.0003520714,0.001913597,0.9628648,0.0002347524,0.03379673,0.0001257326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938158,0.003518789,0.0009206973,0.0004957035,0.0003211299,0.000126538,0.000023564,0.0005805297,0.0001972966],"genre_scores_gemma":[0.9991681,0.0002744488,0.0002989154,0.00001354456,0.00002693211,0.00001298151,0.00001985606,0.00001946854,0.0001657689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03231468,"threshold_uncertainty_score":0.328911,"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."}}