{"id":"W1994342204","doi":"10.2118/131368-ms","title":"Improved Heavy Oil Recovery by CO2 Injection Augmented with Chemicals","year":2010,"lang":"en","type":"article","venue":"International Oil and Gas Conference and Exhibition in China","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Research Council (Canada)","funders":"","keywords":"Micromodel; Viscous fingering; Petroleum engineering; Solubility; Flue gas; Viscosity; Enhanced oil recovery; Surface tension; Capillary action; Porous medium; Water injection (oil production); Chemistry; Materials science; Chemical engineering; Environmental science; Porosity; Geology; Composite material; Thermodynamics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007980788,0.0001290355,0.0001182593,0.00009134391,0.00002915106,0.00007848226,0.00005999045,0.00009838524,0.00008030107],"category_scores_gemma":[0.00002160505,0.0001189475,0.00001634631,0.00006065485,0.000055664,0.0003295406,0.00001958723,0.0002665315,0.000001891212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003392184,"about_ca_system_score_gemma":0.00001222801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001493751,"about_ca_topic_score_gemma":0.0002776817,"domain_scores_codex":[0.999413,0.000006073628,0.0001711341,0.0001847145,0.000103813,0.0001213264],"domain_scores_gemma":[0.9997606,0.00003103725,0.00003686614,0.00006893344,0.00005290081,0.00004969934],"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":[0.000173068,0.00006121195,0.001244414,0.00008179454,0.00003672959,0.000004213247,0.0002134831,0.00005939419,0.6659667,0.0006963692,0.001329993,0.3301326],"study_design_scores_gemma":[0.002796356,0.0004970091,0.006000093,0.0009143779,0.0000237143,0.0002308124,0.0001469061,0.0392436,0.9228752,0.01571596,0.01055281,0.001003131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823272,0.00005118897,0.001059558,0.0005084938,0.0002434035,0.00001915035,0.00003725286,0.0001360614,0.01561764],"genre_scores_gemma":[0.9967229,0.001664482,0.0006129831,0.00008001811,0.00005606021,0.00004917722,0.0000851428,0.00001331149,0.0007159761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3291295,"threshold_uncertainty_score":0.4850539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004742546573467368,"score_gpt":0.2140942711910289,"score_spread":0.2093517246175615,"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."}}