{"id":"W4416411046","doi":"10.1016/j.jcou.2025.103276","title":"Feasibility study of CO2-based cyclic solvent injection and polymer flooding alternation process to enhance heavy oil recovery","year":2025,"lang":"en","type":"article","venue":"Journal of CO2 Utilization","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"SINOPEC Petroleum Exploration and Production Research Institute; University of Regina","keywords":"Enhanced oil recovery; Polymer; Residual oil; Flooding (psychology); Solvent; Petroleum; Process (computing)","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":[0.0002512086,0.0002542112,0.000263743,0.0002419605,0.0001576705,0.0002402637,0.0003054939,0.0003484164,0.0006435896],"category_scores_gemma":[0.0002273061,0.0001420994,0.0002864441,0.0002254217,0.0002200671,0.0003872911,0.0002028968,0.0002122726,0.0001404673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053465,"about_ca_system_score_gemma":0.0003706212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008600426,"about_ca_topic_score_gemma":0.001576178,"domain_scores_codex":[0.9998784,0.00001169058,0.000008243562,0.00002678004,0.00005267169,0.00002217141],"domain_scores_gemma":[0.9999033,0.00002332732,0.00002645304,0.000007947665,0.00002777075,0.00001118188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001632666,0.00005251552,0.0004729384,0.0001059697,0.000003631711,0.0001114785,0.00002223933,0.000992726,0.9934999,0.0001662614,0.00004237872,0.004366651],"study_design_scores_gemma":[0.00001874275,0.000657919,0.001395761,0.000004902656,0.00001556228,0.00008110831,0.00003561956,0.01565707,0.9812002,0.00004643652,0.0008754348,0.00001123223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922153,0.0003284683,0.006353612,0.00004738641,0.00001613093,0.00004686481,0.00005706154,0.00006738076,0.0008677138],"genre_scores_gemma":[0.9936326,0.0002191982,0.005435865,0.00001066154,0.00000276295,0.00002274314,0.00002781871,0.000005199999,0.0006433257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008600426,"threshold_uncertainty_score":0.002152979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917314169865829,"score_gpt":0.3258337259056207,"score_spread":0.3066605842069624,"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."}}