{"id":"W7162310620","doi":"10.3997/2214-4609.202510986","title":"Scaling up of Surfactant EOR Field Implementation in an Offshore Field Through Optimal Pilot Design","year":2025,"lang":"","type":"article","venue":"","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"","keywords":"Submarine pipeline; Field (mathematics); Scaling; Pulmonary surfactant; Oil field","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003920266,0.000412772,0.0006117041,0.0002559845,0.00007925864,0.00005799279,0.0002861947,0.0001642241,0.000887265],"category_scores_gemma":[0.0001391389,0.0004335386,0.0001068739,0.0005760274,0.00002600311,0.0003678581,0.0001684891,0.0003804093,0.000003678114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009581388,"about_ca_system_score_gemma":0.00008000829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539318,"about_ca_topic_score_gemma":0.0007277648,"domain_scores_codex":[0.9977723,0.00006655973,0.0009806065,0.0004034786,0.0002164239,0.0005606255],"domain_scores_gemma":[0.9985906,0.0007893858,0.00007129994,0.0003941257,0.00009774621,0.00005679713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009825109,0.0005348412,0.04843489,0.00269934,0.001051119,0.00004477977,0.009734141,0.7316029,0.01031594,0.02252564,0.0152315,0.1568424],"study_design_scores_gemma":[0.004212853,0.003315779,0.0237202,0.0009478817,0.0003420365,0.000003613405,0.01053534,0.3856329,0.5663192,0.001168702,0.002250331,0.001551214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3606058,0.001294448,0.6280972,0.0005880645,0.001527751,0.0007845887,0.00001126991,0.0001656744,0.006925162],"genre_scores_gemma":[0.9752596,0.0007522006,0.02331289,0.0001655719,0.00008007078,0.00003689759,0.00001218828,0.00003410785,0.0003464714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6146538,"threshold_uncertainty_score":0.9998116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840530093707913,"score_gpt":0.3121054851596755,"score_spread":0.2837001842225964,"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."}}