{"id":"W1965815003","doi":"10.1139/l09-015","title":"A fuzzy logic model for biogas generation in bioreactor landfillsA paper submitted to the Journal of Environmental Engineering and Science.","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Ottawa","funders":"","keywords":"Leachate; Fuzzy logic; Biogas; Bioreactor; Biogas production; Process engineering; Environmental science; Work (physics); Computer science; Engineering; Waste management; Anaerobic digestion; Chemistry; Mechanical engineering; Methane; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005525276,0.0006728009,0.0007291527,0.0005686057,0.0007813073,0.001126043,0.001349287,0.001395036,0.002584284],"category_scores_gemma":[0.0007617213,0.0003592332,0.00102717,0.000467972,0.0004411276,0.0007405303,0.0004030998,0.0007859636,0.0003452728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042477,"about_ca_system_score_gemma":0.00179323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03669574,"about_ca_topic_score_gemma":0.01793259,"domain_scores_codex":[0.9998065,0.00004062589,0.00001268047,0.00004174082,0.00006260931,0.00003596568],"domain_scores_gemma":[0.9997585,0.0001075398,0.00003046085,0.000007903638,0.00008433612,0.00001118031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002250079,0.00001927721,0.000243781,0.00002199847,0.000009597947,0.00005757472,0.00002653586,0.9930467,0.001176466,0.002851607,0.0001271333,0.002396787],"study_design_scores_gemma":[0.000005337462,0.00001145319,0.00005744944,0.000002996773,0.000003341188,0.000005525715,0.000004109355,0.9988556,0.0002280168,0.0006466154,0.0001763235,0.000003252098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1407863,0.0007237492,0.8342956,0.0005281757,0.0001206654,0.0002251382,0.0007929318,0.0004282068,0.02209918],"genre_scores_gemma":[0.9424025,0.0003802584,0.04655043,0.00007804301,0.00002476733,0.0003745239,0.0003736172,0.00003087843,0.009784946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03669574,"threshold_uncertainty_score":0.07296431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009810368061597947,"score_gpt":0.1780603042857739,"score_spread":0.168249936224176,"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."}}