{"id":"W2461300483","doi":"10.1016/j.scs.2016.06.012","title":"A micro-refinery to reduce associated natural gas flaring","year":2016,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gas to liquids; Natural gas; Greenhouse gas; Methane; Refinery; Syngas; Associated petroleum gas; Environmental science; Diesel fuel; Fugitive emissions; Carbon footprint; NOx; Waste management; Fischer–Tropsch process; Petroleum engineering; Environmental engineering; Engineering; Chemistry; Hydrogen","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001824612,0.0001789439,0.0002081225,0.00002446833,0.0003347899,0.00008381979,0.0001106467,0.0001174558,0.0001170374],"category_scores_gemma":[0.00006492605,0.0001328561,0.0001299693,0.0001067604,0.0001469012,0.0002221549,0.0001981813,0.0001048601,0.00002229394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003350644,"about_ca_system_score_gemma":0.00002211107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002086411,"about_ca_topic_score_gemma":0.00006067148,"domain_scores_codex":[0.9987684,0.00003236505,0.0001562355,0.0002786152,0.0001479667,0.0006163959],"domain_scores_gemma":[0.9995707,0.00006346306,0.00004234536,0.0001623242,0.00004536712,0.0001157542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004010932,0.0005044013,0.02738448,0.001228961,0.001568427,0.0002866249,0.1231197,0.0003304873,0.3104968,0.1135781,0.3229425,0.09815848],"study_design_scores_gemma":[0.003420938,0.0003376412,0.04989995,0.0002867083,0.0001119685,0.00001943625,0.2859989,0.00009681258,0.03841276,0.01573051,0.6041009,0.001583439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894982,0.0009917407,0.00001176187,0.001438661,0.0001403387,0.00009984159,0.00000710485,0.0001002802,0.00771206],"genre_scores_gemma":[0.840506,0.0005238422,0.0002259097,0.0006037032,0.0001450897,0.00001776619,0.00000875079,0.00002655645,0.1579424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2811585,"threshold_uncertainty_score":0.5417715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00561347516143926,"score_gpt":0.2048637319599559,"score_spread":0.1992502567985167,"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."}}