{"id":"W2051514899","doi":"10.1007/s13202-012-0025-y","title":"The evaluation of CO2-based vapour extraction (VAPEX) process for heavy-oil recovery","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Exploration and Production Technology","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Regina","funders":"","keywords":"Propane; Hydrocarbon; Methane; Petroleum engineering; Dew point; Solvent; Butane; Extraction (chemistry); Injector; Soil vapor extraction; Process (computing); Materials science; Solubility; Waste management; Environmental science; Chemical engineering; Chemistry; Organic chemistry; Thermodynamics; Geology; Engineering; Mechanical engineering; Contamination","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004067894,0.0004457911,0.0006230292,0.0002093872,0.0003535449,0.0006380606,0.0005088591,0.0007858386,0.00095733],"category_scores_gemma":[0.0007007786,0.0002335929,0.000510734,0.000308267,0.0003622133,0.000548691,0.0003201914,0.0004921295,0.000175485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000627241,"about_ca_system_score_gemma":0.0004843783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005011594,"about_ca_topic_score_gemma":0.002120318,"domain_scores_codex":[0.999797,0.00003557258,0.000009748011,0.00003205731,0.00007577729,0.00004981231],"domain_scores_gemma":[0.999675,0.0001801614,0.00003638155,0.00001672188,0.00007563781,0.00001611974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009411804,0.0003939668,0.004140242,0.0009436938,0.00006488842,0.0005323665,0.000124009,0.7674377,0.2080458,0.001778433,0.0005909849,0.0150067],"study_design_scores_gemma":[0.00005324208,0.001092751,0.001807961,0.00001547121,0.00002752911,0.00004850567,0.00005990166,0.8541297,0.1413849,0.0002070794,0.001150549,0.00002247804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875488,0.000757451,0.007574387,0.0001191618,0.00003176403,0.0000752805,0.0002362021,0.00009142011,0.003565572],"genre_scores_gemma":[0.9968261,0.0003751309,0.001745354,0.00001020831,0.000003172232,0.00003296325,0.00008365657,0.000008347682,0.0009151345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005011594,"threshold_uncertainty_score":0.009964824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04103994185466188,"score_gpt":0.320073952389303,"score_spread":0.2790340105346412,"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."}}