{"id":"W2092632418","doi":"10.2118/165522-ms","title":"Advanced Numerical Simulation of Solvent Vapour Extraction (SVX) Processes","year":2013,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference-Canada","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Natural Resources; Saskatchewan Research Council (Canada)","funders":"Petroleum Technology Research Centre","keywords":"Mass transfer; Dissolution; Viscosity; Thermodynamics; Solvent; Solubility; Thermal; Dispersion (optics); Materials science; Mechanics; Chemistry; Physics; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003951954,0.0001905594,0.0003118711,0.00003456113,0.0001081035,0.00005092171,0.0001802419,0.0000765077,0.002483432],"category_scores_gemma":[0.0002104881,0.0001806024,0.00004807461,0.0002133103,0.00003335443,0.0002043408,0.00002281389,0.0001904705,0.00001090347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002221622,"about_ca_system_score_gemma":0.003431404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8750133,"about_ca_topic_score_gemma":0.8537896,"domain_scores_codex":[0.9984843,0.00001533348,0.0003953904,0.0002988168,0.0005149313,0.0002912997],"domain_scores_gemma":[0.9986824,0.0001301394,0.0002787704,0.0002287215,0.0005389089,0.0001410998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001605245,0.0003420953,0.005859445,0.002544594,0.0002372608,0.00002265621,0.0002171451,0.05062264,0.07161153,0.00006596796,0.003435508,0.8648806],"study_design_scores_gemma":[0.003010607,0.0001335669,0.003968182,0.001547442,0.000410641,0.00002511249,0.004278676,0.5112039,0.3181726,0.001062736,0.1539054,0.002281105],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497756,0.0003967594,0.002048806,0.002057036,0.0001723115,0.00001793563,0.00004118634,0.00007841868,0.04541199],"genre_scores_gemma":[0.9905939,0.00005590144,0.000254345,0.00009206996,0.00008417665,0.00002071238,0.00004562939,0.00001579376,0.008837512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8625996,"threshold_uncertainty_score":0.9984284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661449551433082,"score_gpt":0.252241024941317,"score_spread":0.2356265294269862,"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."}}