{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006787255,0.0004597674,0.0002106265,0.0006035664,0.0001432508,0.0003406772,0.0002202325,0.0003719545,0.001305734],"category_scores_gemma":[0.0007514112,0.0001663618,0.0002312049,0.0004103833,0.0001681104,0.0006362894,0.0002305663,0.0004314293,0.0005058482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003311735,"about_ca_system_score_gemma":0.0002087256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000199398,"about_ca_topic_score_gemma":0.0004903096,"domain_scores_codex":[0.9996367,0.00006037575,0.00001853188,0.00004667359,0.0002007608,0.00003688584],"domain_scores_gemma":[0.9997585,0.00005739957,0.00006592622,0.00001497075,0.00008799954,0.00001522255],"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":[0.00004824814,0.00004698144,0.0001150628,0.0004762945,0.000009810696,0.00006733125,0.00001857905,0.0006437768,0.9754968,0.0006174684,0.0001618125,0.02229785],"study_design_scores_gemma":[0.000003644131,0.0004163535,0.0004873843,0.00003416249,0.00001422025,0.0001119771,0.0000148062,0.000756381,0.9901815,0.00006580843,0.007907434,0.000006281331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8136694,0.04702748,0.1047585,0.0005482477,0.0002106084,0.000715777,0.0009857992,0.0005567958,0.03152736],"genre_scores_gemma":[0.8707733,0.03104082,0.08404202,0.00024,0.00006853686,0.0003286527,0.0007843546,0.0001296565,0.0125927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001305734,"threshold_uncertainty_score":0.004368126,"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."}}