{"id":"W4416525631","doi":"10.1016/b978-0-443-34005-5.00015-4","title":"Applications of artificial intelligence (AI) for optimization of anaerobic digestion and the future trends","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Process (computing); Transformative learning; Sustainability; Cloud computing; Key (lock); Anaerobic digestion; Applications of artificial intelligence; Internet of Things","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":[0.0006110176,0.0008549466,0.0005888442,0.0007983685,0.0002447841,0.002139737,0.000734902,0.0009165193,0.007959532],"category_scores_gemma":[0.0006307166,0.0003212071,0.0005197999,0.001583174,0.0008833409,0.00157332,0.0006265458,0.00186313,0.002239388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006807409,"about_ca_system_score_gemma":0.0006437835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350537,"about_ca_topic_score_gemma":0.002608309,"domain_scores_codex":[0.9997163,0.00007062334,0.00001626575,0.00004172591,0.000139469,0.00001559607],"domain_scores_gemma":[0.9996469,0.0002511983,0.000016513,0.0000186019,0.00005000052,0.00001665525],"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":[0.00009952856,0.0001690806,0.0005738843,0.001738676,0.00009646141,0.0001376769,0.0001654216,0.02923191,0.005988458,0.186242,0.03676981,0.7387869],"study_design_scores_gemma":[0.00001965309,0.0002122422,0.001440127,0.001123376,0.00004877234,0.0003587411,0.0002442836,0.04521146,0.003057917,0.2924723,0.6557532,0.00005789716],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004991777,0.697927,0.07418345,0.006664424,0.001952503,0.00003637236,0.000122263,0.0002071452,0.213915],"genre_scores_gemma":[0.06888655,0.6851809,0.1011241,0.001860998,0.002665185,0.00007741594,0.0002785352,0.0001580519,0.1397683],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007959532,"threshold_uncertainty_score":0.0266273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008265138814756946,"score_gpt":0.2269427146930271,"score_spread":0.2186775758782702,"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."}}