{"id":"W4214652773","doi":"10.1016/j.fuel.2022.123661","title":"Flare gas reduction: A case study of integrating regeneration gas in flash gas compression network","year":2022,"lang":"en","type":"article","venue":"Fuel","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Gas compressor; Volumetric flow rate; Flare; Gas composition; Gas pressure; Associated petroleum gas; Nuclear engineering; Materials science; Environmental science; Chemistry; Petroleum engineering; Natural gas; Mechanics; Physics; Thermodynamics; Geology; Engineering; Astrophysics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007071223,0.0004775214,0.0002891115,0.000605393,0.001747862,0.001003926,0.001447066,0.002077705,0.003546785],"category_scores_gemma":[0.00112314,0.0001549066,0.0003968757,0.0006150439,0.0007646898,0.001080828,0.0006931917,0.0007294429,0.0003301376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272716,"about_ca_system_score_gemma":0.000860468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323466,"about_ca_topic_score_gemma":0.0416824,"domain_scores_codex":[0.9994414,0.000140084,0.00001334617,0.00005601162,0.0002015543,0.0001475175],"domain_scores_gemma":[0.9994411,0.0002783523,0.00003472404,0.00005181906,0.0001187715,0.00007526583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003445012,0.006102387,0.07849168,0.001824325,0.0003535022,0.07485534,0.0107219,0.3554956,0.1236964,0.04456544,0.02013728,0.2803112],"study_design_scores_gemma":[0.0004617211,0.004441849,0.04814846,0.00028113,0.0004039439,0.01151021,0.04831847,0.5619031,0.2232766,0.009333252,0.09168241,0.0002388962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738263,0.000173599,0.006538596,0.0004617542,0.00002570523,0.0001414971,0.0001586018,0.0001671677,0.01850678],"genre_scores_gemma":[0.9892202,0.0001194057,0.003509718,0.00003988509,0.00000576084,0.00002078261,0.00008532775,0.00002544508,0.006973446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02323466,"threshold_uncertainty_score":0.04619884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202260397492556,"score_gpt":0.2483218871103837,"score_spread":0.2280958473611281,"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."}}