{"id":"W4399615955","doi":"10.1016/j.geoen.2024.213032","title":"Introduction of a carbon footprint assessment in the oil and gas facility life extension decision-making process","year":2024,"lang":"en","type":"article","venue":"Geoenergy Science and Engineering","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Carbon footprint; Life extension; Extension (predicate logic); Process (computing); Life-cycle assessment; Decision-making; Environmental science; Fossil fuel; Engineering; Waste management; Greenhouse gas; Process engineering; Computer science; Production (economics); Medicine; Economics; Process integration; Gerontology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001771315,0.0001008972,0.0001254923,0.0002256945,0.00009511239,0.0001115955,0.0001718736,0.00004371925,0.000003608541],"category_scores_gemma":[0.000902308,0.0000714342,0.00001815958,0.001025509,0.0001862319,0.0001390196,0.0001127599,0.0001906307,1.661086e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009380672,"about_ca_system_score_gemma":0.0002005487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007801078,"about_ca_topic_score_gemma":0.000141757,"domain_scores_codex":[0.9986023,0.0000284836,0.0001922303,0.0003823311,0.0004953134,0.0002993087],"domain_scores_gemma":[0.9994302,0.0001301144,0.00001426435,0.0002157372,0.0001428701,0.00006675276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001964502,0.00002474032,0.000258664,0.0002474441,0.000005989467,0.0000163708,0.000874194,0.4728802,0.005310116,0.0367262,0.00000201877,0.4836345],"study_design_scores_gemma":[0.0002183719,0.0001324226,0.03222546,0.0002681624,0.0000122301,0.00007066011,0.003812613,0.9426927,0.001237732,0.01103388,0.007998187,0.000297562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99721,0.0005608057,0.0002497798,0.001040284,0.000139116,0.00002741441,5.097899e-7,0.00003157846,0.0007405431],"genre_scores_gemma":[0.9995586,0.0001445455,0.000188169,0.00001187223,0.00006050661,0.00001830693,6.323287e-7,0.000003726173,0.00001365832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4833369,"threshold_uncertainty_score":0.2913002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008498966277905648,"score_gpt":0.2746007876302431,"score_spread":0.2661018213523375,"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."}}