{"id":"W2887397658","doi":"10.1051/matecconf/201818701006","title":"Effect of Polymer Degradation on Polymer Flooding in Homogeneous Reservoirs","year":2018,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Polymer; Polymer degradation; Degradation (telecommunications); Viscosity; Rheology; Materials science; Enhanced oil recovery; Shear thinning; Shear rate; Chemical engineering; Composite material; Electronic engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000229146,0.0001358745,0.0002591572,0.000257165,0.00001490197,0.00001203282,0.0001854132,0.00009184347,0.000156026],"category_scores_gemma":[0.00003992144,0.0001192637,0.00003986076,0.000205319,0.00008804257,0.00008219158,0.00002202234,0.00008270693,0.0000122131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002145893,"about_ca_system_score_gemma":0.00004606288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002120132,"about_ca_topic_score_gemma":0.0002332867,"domain_scores_codex":[0.9992133,0.00005703684,0.0002686245,0.0001257467,0.0001684526,0.0001667768],"domain_scores_gemma":[0.9995304,0.0001528413,0.0000643895,0.0001905653,0.0000378859,0.00002386919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000213577,0.00004612339,0.01562299,0.0004898388,0.00005976823,0.00000482447,0.0002046478,0.0002261064,0.9223462,0.003765733,0.0002317061,0.0567885],"study_design_scores_gemma":[0.0001721142,0.0005814987,0.0007876825,0.000279652,0.000007893083,0.00000106511,0.00001771473,0.001641309,0.9961843,0.0001474828,0.00007093485,0.0001082844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557254,0.0003605822,0.0001526146,0.00001076723,0.0001505703,0.0001098863,0.000009241736,0.0001379762,0.04334296],"genre_scores_gemma":[0.9995887,0.00008540572,0.00009039196,0.000003961339,0.00002717581,0.00001895312,0.00000356327,0.00001739573,0.0001644059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07383819,"threshold_uncertainty_score":0.4863431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009663966745310027,"score_gpt":0.2469736096324729,"score_spread":0.2373096428871628,"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."}}