{"id":"W4391065094","doi":"10.1016/j.molliq.2024.124104","title":"Recent progress in NP-Based Enhanced oil Recovery: Insights from molecular studies","year":2024,"lang":"en","type":"article","venue":"Journal of Molecular Liquids","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Yayasan UTP; Universiti Teknologi Petronas; Ministry of Higher Education, Malaysia","keywords":"Enhanced oil recovery; Nanofluid; Petroleum industry; Nanotechnology; Biochemical engineering; Fossil fuel; Petroleum; Computer science; Environmental science; Petroleum engineering; Nanoparticle; Materials science; Chemistry; Engineering; Waste management; Environmental 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":[0.0002835885,0.0003197521,0.0005452796,0.0005582977,0.00001850076,0.00009139867,0.0003159176,0.0001894224,0.00002378749],"category_scores_gemma":[0.0001283914,0.0002910064,0.0002536038,0.0006079915,0.00006391624,0.0002973824,0.00004707667,0.0006191561,0.00001460065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004834793,"about_ca_system_score_gemma":0.0001352857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001646615,"about_ca_topic_score_gemma":0.000009140039,"domain_scores_codex":[0.9980305,0.000125861,0.0007789725,0.0002575399,0.0004992935,0.0003077757],"domain_scores_gemma":[0.9991299,0.0001281263,0.0001110014,0.0002934917,0.0002266256,0.0001108575],"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":[0.0001585867,0.00009428011,0.00001542757,0.0003461275,0.0006649169,0.003281346,0.0004827039,0.01728348,0.7905032,0.0001921559,0.00126504,0.1857127],"study_design_scores_gemma":[0.000432078,0.0004067838,0.00002636512,0.001851008,0.00007193903,0.00001882757,0.00004233367,0.00156484,0.9788613,0.003089168,0.01329287,0.0003425058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8009167,0.1728087,0.02330601,0.0003406134,0.001096442,0.00008716826,0.000006791187,0.0002637883,0.001173797],"genre_scores_gemma":[0.9716941,0.01353176,0.01422888,0.0002400517,0.0001204773,0.00004038894,0.000006492069,0.0001106505,0.00002717403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1883581,"threshold_uncertainty_score":0.9999542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00885721476676876,"score_gpt":0.2666859818784186,"score_spread":0.2578287671116498,"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."}}