{"id":"W4405773698","doi":"10.1016/j.apenergy.2024.125202","title":"Application of additives for anaerobic digestion intensification: A comprehensive review on improving biogas production and methane yield","year":2024,"lang":"en","type":"review","venue":"Applied Energy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anaerobic digestion; Biogas; Biogas production; Methane; Yield (engineering); Production (economics); Environmental science; Waste management; Pulp and paper industry; Digestion (alchemy); Chemistry; Engineering; Materials science; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001619873,0.0004173862,0.000950776,0.0002971789,0.00004879121,0.00001934863,0.0001127385,0.0002432116,0.000005291114],"category_scores_gemma":[0.00007531975,0.0003530128,0.0001891911,0.0005031275,0.00008452679,0.00006304191,0.00003125602,0.0002057392,0.00001503737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044013,"about_ca_system_score_gemma":0.00003719781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001672195,"about_ca_topic_score_gemma":0.000004862518,"domain_scores_codex":[0.9984283,0.00002533797,0.0006075638,0.000619222,0.0001403239,0.0001791925],"domain_scores_gemma":[0.9990413,0.00009580365,0.0002649942,0.0003959033,0.0001452571,0.00005680995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006835385,0.00002241692,1.047131e-8,0.02427198,0.0001295676,1.784432e-7,0.00001081971,0.00005474225,0.0004280755,0.06707264,0.002960588,0.9050421],"study_design_scores_gemma":[0.00004527191,0.00007163716,9.186936e-7,0.01466419,0.001038303,0.00001565517,0.00002164733,0.00005401899,0.0007474887,0.0001834357,0.982836,0.0003214032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002167736,0.992681,0.004791443,0.0001075258,0.0005239026,0.001275752,0.00006025938,0.000293574,0.0002643621],"genre_scores_gemma":[0.0009098281,0.9953914,0.0006274801,0.0000500278,0.0004071831,0.001455744,0.000976614,0.0000840818,0.00009763816],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9798754,"threshold_uncertainty_score":0.9998922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03432588210861254,"score_gpt":0.2727552577228043,"score_spread":0.2384293756141918,"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."}}