{"id":"W3008044417","doi":"","title":"A Black Carbon Emissions Inventory from Gas Flaring in Alberta, Canada's Upstream Oil and Gas Sector","year":2018,"lang":"en","type":"article","venue":"EGUGA","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fossil fuel; Upstream (networking); Environmental science; Greenhouse gas; Geology; Waste management; Oceanography; Engineering","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":[0.0002688522,0.0003885032,0.0002238996,0.002650016,0.001954249,0.001543831,0.0004578531,0.0004114865,0.001673744],"category_scores_gemma":[0.0004247233,0.0002132148,0.0002829797,0.004895948,0.0003798927,0.0004779411,0.0004469297,0.0003774372,0.0002328953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02421661,"about_ca_system_score_gemma":0.02742286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939747,"about_ca_topic_score_gemma":0.9981033,"domain_scores_codex":[0.9995599,0.00001056682,0.00001537017,0.00003414828,0.0002773686,0.0001025863],"domain_scores_gemma":[0.9994287,0.00003118993,0.00004818552,0.00001091854,0.000423602,0.00005751755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007653391,0.0002727848,0.7974257,0.0005434022,0.0003171678,0.001709341,0.003812311,0.0219757,0.01299176,0.004840571,0.02269643,0.1326495],"study_design_scores_gemma":[0.000007937087,0.00004307337,0.9556957,0.00008481087,0.00008775795,0.0000892375,0.00533352,0.004938344,0.00385064,0.0002860111,0.02954162,0.00004134905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672803,0.0009164861,0.0004437153,0.0003822928,0.00001160908,0.00004331224,0.01423969,0.00005203817,0.01663052],"genre_scores_gemma":[0.9614654,0.001426514,0.001217916,0.000155154,0.000007237355,0.00001432309,0.01037291,0.00002094907,0.02531955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02421661,"threshold_uncertainty_score":0.1757046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008833231176106713,"score_gpt":0.1949750601920929,"score_spread":0.1861418290159862,"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."}}