{"id":"W4414423851","doi":"10.1016/j.jenvman.2025.127399","title":"Numerical investigation of gas distribution layer (GDL) influence on methane removal efficiency in engineered methane oxidation biosystems (MOBs)","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Methane; Multiphysics; Greenhouse gas; Landfill gas; Flux (metallurgy); Carbon dioxide; Permeability (electromagnetism); Anaerobic oxidation of methane; Residence time distribution","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001909271,0.0002398389,0.000281747,0.0002621513,0.0003696659,0.0004920189,0.0003718192,0.0008612826,0.002544848],"category_scores_gemma":[0.0009799266,0.0001569765,0.0003444995,0.0002871781,0.0003509544,0.0003038777,0.0003214663,0.0004280839,0.0001438974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004676162,"about_ca_system_score_gemma":0.0003638774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182404,"about_ca_topic_score_gemma":0.007998809,"domain_scores_codex":[0.9999224,0.00001339812,0.000003371607,0.0000129507,0.00001775442,0.00003020888],"domain_scores_gemma":[0.9995081,0.000313238,0.00005954928,0.00002568516,0.00006960555,0.00002378136],"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":[0.000226593,0.0001753929,0.0088248,0.0002014827,0.00003562135,0.0002617592,0.00009652101,0.9518288,0.02759788,0.0027451,0.0009432108,0.007062824],"study_design_scores_gemma":[0.00001582702,0.00007744362,0.001676553,0.00001160821,0.00001140054,0.0000202066,0.00007367472,0.9929281,0.00450292,0.0002837358,0.0003882816,0.00001030913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979203,0.0002524869,0.008001485,0.0002924698,0.00005197235,0.00002355085,0.0005060715,0.0001192593,0.01154976],"genre_scores_gemma":[0.9969293,0.00006049069,0.002138328,0.00001932348,0.000002530988,0.00001223477,0.00007097686,0.000009579016,0.0007573092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01182404,"threshold_uncertainty_score":0.02351046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007538303675583193,"score_gpt":0.225811904483146,"score_spread":0.2182736008075628,"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."}}