{"id":"W4410933604","doi":"10.1007/978-981-96-5158-0_69","title":"Experimental Study on Microsphere-Surfactant Composite Profile Control and Oil Displacement for High Temperature and Heterogeneous Reservoirs After Water Flooding","year":2025,"lang":"en","type":"book-chapter","venue":"Springer series in geomechanics and geoengineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Water flooding; Pulmonary surfactant; Composite number; Displacement (psychology); Microsphere; Flooding (psychology); Materials science; Water cut; Enhanced oil recovery; Petroleum engineering; Composite material; Chemical engineering; Geology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001683784,0.0006849709,0.0006787839,0.0001975726,0.00009587521,0.0001687398,0.0001246965,0.0003289441,0.00001798872],"category_scores_gemma":[0.000005114239,0.0006450685,0.00006241662,0.00002970428,0.00002550853,0.0001460693,0.0002394452,0.0004587831,8.330307e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527177,"about_ca_system_score_gemma":0.000007253951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009049148,"about_ca_topic_score_gemma":0.00003371598,"domain_scores_codex":[0.9982841,0.000008769205,0.0004401574,0.0006161588,0.0001650264,0.000485802],"domain_scores_gemma":[0.9994549,0.00004858723,0.00004057859,0.000323246,0.00003626106,0.00009645616],"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":[0.002771735,0.0003510145,0.0001866635,0.008812272,0.002245908,0.0005512221,0.004022287,0.04224237,0.9193318,0.01146569,0.0001366355,0.007882369],"study_design_scores_gemma":[0.005967229,0.003466958,0.000166085,0.005213923,0.0003497297,0.00007836119,0.000447645,0.02514454,0.9430752,0.001905769,0.01010233,0.004082175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898937,0.006099562,0.0006450085,0.00003249642,0.0006907225,0.001344283,0.0002950671,0.0003474412,0.0006517461],"genre_scores_gemma":[0.9917524,0.001084666,0.001383742,0.00002865457,0.00006361723,0.0005908241,0.00003303581,0.0001682562,0.00489481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02374342,"threshold_uncertainty_score":0.9996001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003616921074696166,"score_gpt":0.1929331546880578,"score_spread":0.1893162336133617,"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."}}