{"id":"W4416077496","doi":"10.1021/acsestair.5c00127","title":"Comparison of Landfill Methane Emission Quantification Using Multiple Observation Methods","year":2025,"lang":"en","type":"article","venue":"ACS ES&T Air","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"Office of Energy Research and Development; Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Canadian Space Agency; European Space Agency; Environment and Climate Change Canada; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Methane; Methane emissions; Range (aeronautics); Greenhouse gas; Landfill gas; Environmental monitoring; Software deployment","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001592191,0.0006692809,0.0003973263,0.00166496,0.0003469173,0.0006025304,0.0006729073,0.0003910993,0.0007291787],"category_scores_gemma":[0.002152239,0.000291888,0.000508296,0.001346183,0.0002223956,0.0006356827,0.0005113476,0.0002240602,0.0001753803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180224,"about_ca_system_score_gemma":0.0008901118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1090636,"about_ca_topic_score_gemma":0.205517,"domain_scores_codex":[0.9989848,0.0001413187,0.00005294972,0.0002058169,0.0005108826,0.0001041727],"domain_scores_gemma":[0.9988126,0.0002803994,0.0001641396,0.00008238673,0.0006336205,0.00002680735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001656022,0.0003867346,0.3886264,0.000947964,0.001032433,0.0001981003,0.001040898,0.081113,0.1336998,0.001025612,0.002207644,0.3880654],"study_design_scores_gemma":[0.00007134194,0.0003793498,0.6356151,0.00009157377,0.0004686083,0.0001871166,0.00089681,0.2531735,0.1025314,0.0004005722,0.006006391,0.0001782072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507932,0.0008052709,0.0407593,0.0001103602,0.00002583354,0.0001166274,0.001607225,0.0006301982,0.005151969],"genre_scores_gemma":[0.9508117,0.0005335536,0.04589011,0.00004212117,0.00001205556,0.0001124065,0.001385052,0.00007410833,0.001138908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090636,"threshold_uncertainty_score":0.2168576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1063894381527298,"score_gpt":0.4154742713176754,"score_spread":0.3090848331649456,"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."}}