{"id":"W4376561116","doi":"10.1016/j.enconman.2023.117146","title":"Geothermal development associated with enhanced hydrocarbon recovery and geological CO2 storage in oil and gas fields in Canada","year":2023,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geothermal gradient; Enhanced oil recovery; Petroleum engineering; Fossil fuel; Hydrocarbon; Revenue; Environmental science; Natural gas field; Waste management; Petroleum; Geology; Natural gas; Chemistry; Engineering; Business; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009395395,0.00007026221,0.00007530653,0.00004695261,0.0000497107,0.000009949789,0.00003024547,0.00003013662,0.0002927564],"category_scores_gemma":[0.000005696566,0.00005980778,0.000003844355,0.0001203905,0.00003440949,0.00005270235,0.0001156922,0.00005260158,0.000003044588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801383,"about_ca_system_score_gemma":0.00001643855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1573619,"about_ca_topic_score_gemma":0.826198,"domain_scores_codex":[0.9994544,0.00003267394,0.0000950093,0.0001844295,0.00009722546,0.0001361963],"domain_scores_gemma":[0.9998549,0.00003353658,0.00002637479,0.00004209407,0.000001777321,0.00004128572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007124358,0.0003753242,0.3079609,0.0001246082,0.0001889321,0.002388379,0.003467217,0.06869337,0.001201635,0.002793933,0.01084135,0.601252],"study_design_scores_gemma":[0.001594684,0.0001223049,0.9434617,0.0000747903,0.000008694788,0.000004788114,0.001445802,0.01926939,0.0003797169,0.0001842078,0.03314936,0.0003046115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878274,0.000009947088,0.00003522554,0.0008630174,0.00004435818,0.00002893584,3.607538e-7,0.00001298015,0.0111778],"genre_scores_gemma":[0.9920275,0.0006480995,0.00002573783,0.0006297579,0.000001779094,0.00001503292,0.000007962246,0.000002161381,0.006641988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6688361,"threshold_uncertainty_score":0.8482493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005856162602332352,"score_gpt":0.1756563785955767,"score_spread":0.1698002159932444,"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."}}