{"id":"W2009312017","doi":"10.2118/150384-ms","title":"Advances of Polymer Flood in Heavy Oil Recovery","year":2011,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference and Exhibition","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Flood myth; Oil reserves; Environmental science; Enhanced oil recovery; Oil field; Oil viscosity; Light crude oil; Petroleum; Waste management; Viscosity; Geology; Engineering; Materials science; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001139979,0.0001646451,0.0002485283,0.0001628697,0.00002321251,0.00001561802,0.00007741338,0.0001248872,0.0001608794],"category_scores_gemma":[0.00001627164,0.0001746771,0.00004280274,0.0001538316,0.00006749103,0.000534907,0.00002133269,0.0001595344,0.00001581069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003538623,"about_ca_system_score_gemma":0.00002799186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002316437,"about_ca_topic_score_gemma":0.0005880372,"domain_scores_codex":[0.9991214,0.00002534418,0.0002970328,0.0002022722,0.0001172171,0.0002367116],"domain_scores_gemma":[0.9996511,0.00002827478,0.00004780462,0.0001702287,0.00004712643,0.00005547688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000192328,0.00009143716,0.0009417025,0.0006636043,0.00001623227,0.00001185126,0.001065226,0.00004148186,0.03733474,0.002536484,0.0001860724,0.9569188],"study_design_scores_gemma":[0.0004331129,0.0002401038,0.001645763,0.0008491476,0.00001277566,0.00001121533,0.0002669071,0.0005289868,0.9848742,0.01024544,0.0005328543,0.0003594369],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8383109,0.002734735,0.001685656,0.00004786774,0.0002447529,0.00004327447,0.00002482416,0.0002700392,0.156638],"genre_scores_gemma":[0.982396,0.0154816,0.001736873,0.00004441796,0.00003536225,0.00002938156,0.00001442048,0.00002224935,0.0002396593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9565594,"threshold_uncertainty_score":0.7123124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975504069016882,"score_gpt":0.2290761724882916,"score_spread":0.2093211317981228,"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."}}