{"id":"W3104118730","doi":"10.3390/atmos11111227","title":"Diurnal and Seasonal Variation of Area-Fugitive Methane Advective Flux from an Open-Pit Mining Facility in Northern Canada Using WRF","year":2020,"lang":"en","type":"article","venue":"Atmosphere","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rowan Williams Davies & Irwin (Canada); University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Advection; Weather Research and Forecasting Model; Environmental science; Flux (metallurgy); Daytime; Atmospheric sciences; Methane; Greenhouse gas; Tailings; Seasonality; Climatology; Geology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001073976,0.0001735474,0.0002537077,4.020565e-7,0.00006973068,0.00002041309,0.0002427955,0.00006694393,0.0011667],"category_scores_gemma":[0.00003687502,0.0001747833,0.00002077511,0.0001613608,0.0001255234,0.000413623,0.0003638761,0.000137645,0.000003806863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006554276,"about_ca_system_score_gemma":0.0001040228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6615674,"about_ca_topic_score_gemma":0.6283022,"domain_scores_codex":[0.9987159,0.00009984166,0.0002449728,0.0004306478,0.0002953438,0.0002133203],"domain_scores_gemma":[0.9994605,0.00006072741,0.0001448592,0.0001374562,0.000006319832,0.0001901306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009432836,0.00004430025,0.8151715,0.000003583592,0.0000244631,0.00001783743,0.002279498,0.1737063,0.002252679,0.000003091488,0.000008558713,0.0063938],"study_design_scores_gemma":[0.000512917,0.00009475313,0.8034459,0.00001256528,0.00002239093,0.000002291504,0.002852269,0.1925805,0.0001257192,0.0001077247,0.00006709932,0.0001758782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936206,0.0000426562,0.005390799,0.00009906339,0.00003185591,0.000204505,0.00007172056,0.000007610318,0.0005311616],"genre_scores_gemma":[0.9810386,0.000005376202,0.01859699,0.0002628362,0.00001504011,0.000005010415,0.00002841999,0.00001254816,0.00003514977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0332652,"threshold_uncertainty_score":0.9997464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379778213001197,"score_gpt":0.2155250454455484,"score_spread":0.2017272633155364,"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."}}