{"id":"W6921004882","doi":"10.6084/m9.figshare.28181016.v1","title":"Estimating methane emissions from the waste sector in Southern Ontario using atmospheric measurements","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methane; Methane emissions; Tonne; Atmospheric methane; Greenhouse gas; Emission inventory; Municipal solid waste; Plume; Fugitive emissions","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001463217,0.0003917729,0.0001454954,0.0008228531,0.0009571279,0.0005380136,0.0004062726,0.0002102743,0.0008376772],"category_scores_gemma":[0.0005973374,0.0002435234,0.0002851137,0.002049523,0.0002940743,0.0002753295,0.0003253232,0.0001437791,0.0001708829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008776014,"about_ca_system_score_gemma":0.007300843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9814157,"about_ca_topic_score_gemma":0.992591,"domain_scores_codex":[0.9997523,0.00001014392,0.00001068206,0.00004517423,0.0001300774,0.00005159163],"domain_scores_gemma":[0.999657,0.00002655426,0.00007240513,0.00001751459,0.0001931647,0.00003322021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009140098,0.00003817059,0.9338986,0.0001344237,0.00008299186,0.0002657234,0.000964841,0.02542013,0.01186438,0.0002640984,0.001258212,0.02571699],"study_design_scores_gemma":[0.00001579066,0.00002112174,0.9654322,0.00002044641,0.00003717595,0.00003440572,0.00075728,0.02777562,0.001798774,0.00008878519,0.003997167,0.0000212157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915809,0.0001519908,0.001213654,0.00005876776,0.000003018564,0.00002366644,0.003241613,0.00006853182,0.003657795],"genre_scores_gemma":[0.9949055,0.0002047387,0.001665666,0.00001284593,0.000003102017,0.00001531457,0.002113268,0.00001127196,0.001068343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01858425,"threshold_uncertainty_score":0.06367469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07174621437402376,"score_gpt":0.268478806569685,"score_spread":0.1967325921956612,"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."}}