{"id":"W2968808934","doi":"10.1155/2019/6343519","title":"A Numerical Study of Initiation and Migration of Trapped Oil in Capillaries with Noncircular Cross Sections","year":2019,"lang":"en","type":"article","venue":"Geofluids","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Mechanics; Microchannel; Pressure drop; Drop (telecommunication); Capillary action; Displacement (psychology); Capillary number; Geology; Cross section (physics); Flow (mathematics); Materials science; Phase (matter); Capillary pressure; Computational fluid dynamics; Chemistry; Porous medium; Porosity; Physics; Geotechnical engineering; Composite material; Mechanical engineering; Engineering","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":[0.00007907026,0.00006695721,0.0001448207,0.00009401635,0.00001056112,0.000008081731,0.0000312039,0.00004735901,0.000005826057],"category_scores_gemma":[0.00001033617,0.00006472213,0.00001223678,0.000203847,0.00001950541,0.0001352651,0.000006189555,0.0000653903,7.246286e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002568646,"about_ca_system_score_gemma":0.00001045756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002758759,"about_ca_topic_score_gemma":0.0002014512,"domain_scores_codex":[0.9995406,0.00001756964,0.0001750132,0.00008724952,0.00009928585,0.00008027312],"domain_scores_gemma":[0.999779,0.00002721874,0.00002496881,0.0001114185,0.00004497177,0.00001237774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008228348,0.0002694366,0.7587845,0.000460276,0.00007544904,0.000003362242,0.009067041,0.0431703,0.1851101,0.0001767684,0.00002276285,0.00277769],"study_design_scores_gemma":[0.001514769,0.001141136,0.6058856,0.0001327392,0.00002450749,0.000008553913,0.001069424,0.01254989,0.3771953,0.000121451,0.0001085637,0.0002480733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953711,0.0001232552,0.003305454,0.000002277304,0.00002790288,0.0001163013,0.000003190951,0.00006316587,0.0009873459],"genre_scores_gemma":[0.999633,0.00005350416,0.0002510096,0.000002967982,0.00000524483,0.00002524639,0.000003895117,0.00001128204,0.00001391005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1920852,"threshold_uncertainty_score":0.2639292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005408141390273616,"score_gpt":0.2204078980083392,"score_spread":0.2149997566180656,"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."}}