{"id":"W3010995007","doi":"10.3390/pr8030361","title":"Evaluation of Polymeric Materials for Chemical Enhanced Oil Recovery","year":2020,"lang":"en","type":"article","venue":"Processes","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enhanced oil recovery; Polymer; Materials science; Compatibility (geochemistry); Petroleum engineering; Process engineering; Chemical engineering; Composite material; Geology; Engineering","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":[0.0002343409,0.0000971203,0.0001750455,0.00002632678,0.000009175922,0.00001286771,0.0001055851,0.00005797088,0.00009244977],"category_scores_gemma":[0.001233162,0.0001008006,0.00002611535,0.0001818276,0.00001378618,0.0001532965,0.00001271274,0.0000302145,0.000005575599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004732263,"about_ca_system_score_gemma":0.00009139198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001445887,"about_ca_topic_score_gemma":8.683466e-7,"domain_scores_codex":[0.9992509,0.00001142066,0.0002065443,0.0001300467,0.0002814927,0.0001195445],"domain_scores_gemma":[0.9993729,0.00007238018,0.00005289324,0.00007595648,0.0003950017,0.00003086443],"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":[0.00002397621,0.000007595895,5.500308e-7,0.002128767,0.00002029484,3.138373e-8,0.0001281826,0.0003682148,0.9174152,0.000003537069,0.000299622,0.07960406],"study_design_scores_gemma":[0.0001696255,0.00004740398,0.000001501659,0.00007037165,0.00004543668,2.964235e-7,0.00001512231,0.0008510087,0.9975015,0.0008512563,0.000337924,0.0001085326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421872,0.003627035,0.04590402,0.00008089462,0.0001996583,0.0002668815,0.00007782594,0.0007115653,0.006944936],"genre_scores_gemma":[0.9945387,0.000549119,0.004426424,0.00004465982,0.00009892361,0.0002839454,0.00001666056,0.00003070414,0.00001091021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08008635,"threshold_uncertainty_score":0.4110529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279861108542577,"score_gpt":0.2706542759014183,"score_spread":0.2426681650471606,"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."}}