{"id":"W2036897043","doi":"10.2118/138885-ms","title":"Carbon Footprint and Principle of Additionality in CO2-EOR Projects: The Weyburn Case","year":2010,"lang":"en","type":"article","venue":"SPE Latin American and Caribbean Petroleum Engineering Conference","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Additionality; Enhanced oil recovery; Carbon capture and storage (timeline); Greenhouse gas; Environmental science; Carbon footprint; Petroleum engineering; Carbon sequestration; Fossil fuel; Waste management; Climate change; Engineering; Carbon dioxide; Environmental economics; Economics; Geology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002318586,0.0003930122,0.0004474493,0.001376839,0.001779119,0.003366062,0.00101231,0.001937577,0.005025187],"category_scores_gemma":[0.003460502,0.0002424445,0.0007708046,0.001253614,0.004124201,0.003007491,0.003284467,0.002135288,0.0001686298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003379762,"about_ca_system_score_gemma":0.002550181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269297,"about_ca_topic_score_gemma":0.02182842,"domain_scores_codex":[0.9980096,0.0006601761,0.00005268266,0.000185695,0.0005916985,0.0005001271],"domain_scores_gemma":[0.9978731,0.001026163,0.000227155,0.0002838601,0.000337352,0.0002523755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001225773,0.0001761811,0.01020287,0.00006417462,0.00003858243,0.002153839,0.0004706258,0.03808459,0.001526002,0.9302486,0.001254304,0.01565772],"study_design_scores_gemma":[0.0003078996,0.0006205176,0.03295602,0.0003497191,0.0001277877,0.00244016,0.006646056,0.1568815,0.006429967,0.7182005,0.07481121,0.0002286364],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7716264,0.0004279295,0.01705219,0.002462872,0.00002347414,0.000144926,0.0002011396,0.00004323926,0.2080178],"genre_scores_gemma":[0.992235,0.0001580719,0.002873114,0.00006129128,0.000008160761,0.00006398784,0.00003978009,0.000009710182,0.004550869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.977307,"threshold_uncertainty_score":0.04512179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009115013518069013,"score_gpt":0.2286224441050303,"score_spread":0.2195074305869613,"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."}}