{"id":"W2793597187","doi":"10.2118/189754-ms","title":"General Analytical Model for Thermal-Solvent Assisted Gravity Drainage Recovery Processes","year":2018,"lang":"en","type":"article","venue":"SPE Canada Heavy Oil Technical Conference","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Imperial Oil (Canada)","funders":"","keywords":"Mass transfer; Dilution; Mechanics; Thermodynamics; Heat transfer; Diffusion; Porous medium; Dispersion (optics); Molecular diffusion; Drainage; Work (physics); Chemistry; Petroleum engineering; Materials science; Porosity; Geology; Physics; Engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002184367,0.0002094738,0.0002623281,0.00002357165,0.000301809,0.00006290368,0.0003788981,0.00009141077,0.0003173086],"category_scores_gemma":[0.0001830335,0.0001790852,0.00006303092,0.000222768,0.0004149808,0.0001487008,0.0002132014,0.0001371403,0.00002110846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004718347,"about_ca_system_score_gemma":0.0004634372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05388456,"about_ca_topic_score_gemma":0.7063044,"domain_scores_codex":[0.9982864,0.00003170775,0.0003038995,0.00049031,0.000431052,0.0004566154],"domain_scores_gemma":[0.9992222,0.00008293644,0.00007830124,0.0003078368,0.0001309169,0.0001778289],"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":[0.0009396683,0.0008563181,0.008012999,0.0004647252,0.0002172768,0.00008698639,0.0005580714,0.001391376,0.05961958,0.02452101,0.1308702,0.7724618],"study_design_scores_gemma":[0.003609605,0.001937048,0.188619,0.0002959217,0.0004207703,0.00007243186,0.0003449324,0.4736672,0.0248247,0.023653,0.2784485,0.004106923],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6027479,0.0000657771,0.3419955,0.007562407,0.0003956921,0.000568751,0.0002179141,0.0002438121,0.0462022],"genre_scores_gemma":[0.9809977,0.000009010482,0.003652416,0.001013707,0.00007263802,0.000103427,0.00001741798,0.00001501242,0.01411872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7683548,"threshold_uncertainty_score":0.9524157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033255428641745,"score_gpt":0.2592944145786054,"score_spread":0.2260389859368604,"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."}}