{"id":"W2055986419","doi":"10.3997/2214-4609.201411961","title":"Permanent Seismic Reservoir Monitoring for Real-time Surveillance of Thermal EOR at Peace River","year":2015,"lang":"en","type":"article","venue":"Proceedings","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Software deployment; Profitability index; SAFER; Footprint; Carbon footprint; Production (economics); Environmental science; Geology; Computer science; Computer security; Greenhouse gas; Business","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":[0.0004266672,0.000249004,0.0002037752,0.000462167,0.000377081,0.0008414761,0.0004650071,0.0003756017,0.002658234],"category_scores_gemma":[0.0007697047,0.000142791,0.0001657563,0.0004537641,0.0002364021,0.0004988565,0.0006054167,0.0004256405,0.0004882465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007704807,"about_ca_system_score_gemma":0.001988264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05334942,"about_ca_topic_score_gemma":0.1033419,"domain_scores_codex":[0.9997464,0.00003737867,0.000009527548,0.00004152233,0.0001285807,0.00003655976],"domain_scores_gemma":[0.9997149,0.00005847545,0.00003537028,0.00003118619,0.0001065765,0.00005351526],"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":[0.0005697664,0.0001726877,0.1328572,0.000676177,0.0001216307,0.0009369769,0.0008705591,0.2534898,0.139826,0.006555917,0.02397288,0.4399505],"study_design_scores_gemma":[0.0000456431,0.0001980907,0.06295138,0.0001073066,0.00005561892,0.0002447321,0.0007190807,0.8844157,0.02008915,0.002027957,0.02907497,0.0000703596],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7161608,0.001120738,0.2248682,0.002545465,0.0002100013,0.0002753395,0.00465944,0.005926546,0.0442334],"genre_scores_gemma":[0.9469163,0.0002681891,0.04812824,0.00006898553,0.0000253157,0.00003673611,0.0009453213,0.0001060582,0.003504947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9466506,"threshold_uncertainty_score":0.1060778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03091766584931168,"score_gpt":0.2768319786365914,"score_spread":0.2459143127872797,"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."}}