{"id":"W2794923657","doi":"10.2118/190273-ms","title":"The Analysis of Compositional Effects on Global Flow Regimes in CO2 Near-Miscible Displacements in Heterogeneous Systems","year":2018,"lang":"en","type":"article","venue":"SPE Improved Oil Recovery Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Energi Simulation; Heriot-Watt University","keywords":"Viscous fingering; Mechanics; Instability; Flow (mathematics); Enhanced oil recovery; Displacement (psychology); Confined space; Dispersion (optics); Materials science; Plume; Tube (container); Scale (ratio); Geology; Petroleum engineering; Porous medium; Physics; Thermodynamics; Chemistry; Optics; Composite material; Porosity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001629706,0.0002683587,0.0002458922,0.0003915406,0.0003229109,0.0003926518,0.0002453154,0.0003146206,0.0006148106],"category_scores_gemma":[0.0007767962,0.0001332646,0.0002704856,0.0002337742,0.0005339882,0.0004327414,0.0003558031,0.000211147,0.00004187638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004710639,"about_ca_system_score_gemma":0.000348966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008322254,"about_ca_topic_score_gemma":0.003947364,"domain_scores_codex":[0.9999472,0.000007485097,0.00000277615,0.00001231683,0.00001274716,0.00001753639],"domain_scores_gemma":[0.99981,0.00008352361,0.00003944165,0.00001583894,0.0000299886,0.00002108626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001797604,0.00008303545,0.02317776,0.00007173151,0.00004352122,0.0004580734,0.0001647178,0.8735218,0.09407793,0.002728505,0.0001063562,0.005386766],"study_design_scores_gemma":[0.00001015681,0.00005566253,0.008155882,0.000002470596,0.000008985003,0.00002604721,0.00006485324,0.9819773,0.00929975,0.0002502056,0.0001390285,0.000009733235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962885,0.00004738296,0.002938256,0.00002959522,0.000002758745,0.000008327869,0.00003160549,0.00002630141,0.0006272074],"genre_scores_gemma":[0.9994125,0.00002032516,0.0004408561,0.000004573398,0.000001163537,0.000003135795,0.00002192543,0.000003558195,0.00009197198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008322254,"threshold_uncertainty_score":0.01654762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007090047648429089,"score_gpt":0.2414395387598232,"score_spread":0.2343494911113941,"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."}}