{"id":"W2027097224","doi":"10.1080/10916460802611267","title":"Visualization of Waterflooding through Unconsolidated Porous Media Using Magnetic Resonance Imaging","year":2009,"lang":"en","type":"article","venue":"Petroleum Science and Technology","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porous medium; Petroleum engineering; Enhanced oil recovery; Visualization; Displacement (psychology); Geology; Porosity; Materials science; Computer science; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009542519,0.0001780676,0.0000718134,0.0002780307,0.0001217104,0.0001656212,0.0001705599,0.0002083194,0.0006310829],"category_scores_gemma":[0.0001203028,0.00009930119,0.0000579093,0.000093558,0.0001810483,0.0002580527,0.0001442632,0.0002234411,0.0001077997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083941,"about_ca_system_score_gemma":0.0001649235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006033427,"about_ca_topic_score_gemma":0.0007591763,"domain_scores_codex":[0.999977,0.000002788425,9.123623e-7,0.00000546613,0.000008488371,0.000005345591],"domain_scores_gemma":[0.9999177,0.00002825749,0.00001855888,0.000005309805,0.00001690716,0.00001315879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002256869,0.000004009643,0.0001326703,0.00002060566,0.000001384639,0.00007680226,0.00001143813,0.0001137033,0.997673,0.0001116726,0.00003061364,0.001801453],"study_design_scores_gemma":[0.000007210753,0.0001149129,0.002447219,0.000006523835,0.000007389612,0.0003806546,0.00002859354,0.004596314,0.9912704,0.0001263653,0.001007644,0.000006700854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620419,0.000699675,0.03437798,0.0001342316,0.00001206645,0.0000212452,0.0001323902,0.0002492554,0.002331312],"genre_scores_gemma":[0.9685573,0.0004928435,0.02876177,0.00004610684,0.00001244631,0.00001976138,0.00008431293,0.00001923499,0.002006087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006310829,"threshold_uncertainty_score":0.002111197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009159276860842946,"score_gpt":0.3087690290422436,"score_spread":0.2996097521814006,"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."}}