{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003264727,0.0002729066,0.0004940249,0.0001982228,0.00006941592,0.0001413191,0.0003779576,0.0001483452,0.00002206673],"category_scores_gemma":[0.00009370084,0.0002367301,0.0001308006,0.0009239191,0.0001380638,0.0001644248,0.00006450252,0.0002021091,0.00001934602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004430122,"about_ca_system_score_gemma":0.0000932587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004139934,"about_ca_topic_score_gemma":0.002648976,"domain_scores_codex":[0.9982756,0.0001198159,0.0005250513,0.0003599029,0.0002833636,0.0004362978],"domain_scores_gemma":[0.9988221,0.0003828323,0.0001268719,0.0004871244,0.0001117073,0.00006936845],"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":[0.001690007,0.0003809764,0.01600712,0.0009492657,0.002205169,0.00007152758,0.0003567775,0.6097452,0.06937388,0.002128265,0.00091642,0.2961754],"study_design_scores_gemma":[0.0008143087,0.0006040177,0.01080753,0.0006649924,0.0001126777,0.000005029344,0.00002483479,0.9199788,0.06524207,0.0008477661,0.000452666,0.0004453064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871377,0.0003056673,0.002784496,0.00003297881,0.0007124303,0.0002517081,0.0001307629,0.0001245428,0.008519696],"genre_scores_gemma":[0.9983175,0.0003775192,0.0008440401,0.00002655855,0.00004387944,0.00009611175,0.00003655879,0.00002221788,0.0002355616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3102336,"threshold_uncertainty_score":0.9653575,"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."}}