{"id":"W2905308532","doi":"10.2118/193771-ms","title":"Does Polymer's Viscoelasticity Influence Heavy Oil Sweep Efficiency and Injectivity at 1ft/Day?","year":2018,"lang":"en","type":"article","venue":"SPE International Heavy Oil Conference and Exhibition","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enhanced oil recovery; Rheology; Materials science; Extensional viscosity; Viscoelasticity; Polymer; Shear thinning; Rheometer; Shear rate; Composite material; Viscosity; Petroleum engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001752613,0.0002257344,0.0001908172,0.000150478,0.0001546299,0.0001261661,0.0001396558,0.0001292726,0.0001734111],"category_scores_gemma":[0.00008615165,0.0001882181,0.00003649662,0.0001102739,0.0002926562,0.0005987501,0.0001193545,0.0001912226,0.00004601507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001595115,"about_ca_system_score_gemma":0.00003160774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003330219,"about_ca_topic_score_gemma":0.0009811281,"domain_scores_codex":[0.9987902,0.00003490784,0.0002627287,0.000364186,0.0002818479,0.0002660957],"domain_scores_gemma":[0.9993587,0.0001106929,0.00006191042,0.0001523056,0.0002091429,0.000107271],"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":[0.0005233653,0.0002252858,0.008740293,0.0005163448,0.0001466729,0.00002872146,0.002492369,0.0004410851,0.3692974,0.01185274,0.0007362292,0.6049995],"study_design_scores_gemma":[0.0006214534,0.0003801577,0.0199437,0.0008237915,0.00002635078,0.00005215275,0.0001027034,0.03296767,0.9345083,0.008127732,0.001715121,0.0007308932],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739913,0.0001268168,0.009103317,0.0003460203,0.0005763701,0.0000393158,0.00006146225,0.0003112645,0.01544418],"genre_scores_gemma":[0.9974497,0.001006769,0.0003732984,0.0001391436,0.0002387641,0.00002642947,0.00002322689,0.00002098721,0.0007216725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6042686,"threshold_uncertainty_score":0.7675311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008377476778426035,"score_gpt":0.2422533090493227,"score_spread":0.2338758322708967,"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."}}