{"id":"W2772219416","doi":"10.1016/j.fuel.2017.11.110","title":"Performance forecasting for polymer flooding in heavy oil reservoirs","year":2017,"lang":"en","type":"article","venue":"Fuel","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Alberta Innovates - Technology Futures; CMG Reservoir Simulation Foundation; Natural Sciences and Engineering Research Council of Canada; Archival Education and Research Institute","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Asphalt; Steam injection; Flooding (psychology); Computer science; Environmental science; Oil sands; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000499407,0.0005605454,0.0005087655,0.0006263258,0.0003432859,0.0006135663,0.0005641303,0.0009173716,0.0008627179],"category_scores_gemma":[0.002251221,0.0002599695,0.0003618468,0.0006739949,0.0002793683,0.0008811993,0.0003779557,0.0006727005,0.0001470574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005667,"about_ca_system_score_gemma":0.0006949588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03676366,"about_ca_topic_score_gemma":0.01777355,"domain_scores_codex":[0.9998605,0.00003342571,0.00000827073,0.00003804761,0.00002446693,0.00003532109],"domain_scores_gemma":[0.9992639,0.0004082336,0.00008006401,0.00004642499,0.0001361034,0.00006515275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007011516,0.00003244745,0.004119131,0.00001203424,0.00001101678,0.00002501428,0.00001730209,0.9889023,0.000648502,0.0004022765,0.0003453158,0.005414519],"study_design_scores_gemma":[0.00000142742,0.000005718613,0.0004259,7.526411e-7,0.000001346306,0.000001156035,0.000005592602,0.999181,0.0002337606,0.0001048088,0.00003633386,0.000002259726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627611,0.0001536759,0.03313145,0.0003212458,0.00004608456,0.00002329282,0.0006122407,0.000311989,0.002638936],"genre_scores_gemma":[0.9975569,0.00004074656,0.001724825,0.00000477758,0.000006461403,0.000006870837,0.0001939194,0.00001176039,0.0004538008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03676366,"threshold_uncertainty_score":0.07309937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05811096694938743,"score_gpt":0.2916718888539279,"score_spread":0.2335609219045404,"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."}}