{"id":"W4403259854","doi":"10.1002/cjce.25521","title":"Application of <scp>MgO</scp> based‐nanofluid for controlling the growth of asphaltene flocs under static and micromodel dynamic conditions","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Micromodel; Nanofluid; Materials science; Asphaltene; Petroleum engineering; Chemical engineering; Geotechnical engineering; Nanoparticle; Composite material; Geology; Engineering; Nanotechnology; Porous medium; Porosity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001181893,0.000239529,0.0001552798,0.0001181168,0.0001246546,0.0001956836,0.0001480378,0.0002540096,0.0002997546],"category_scores_gemma":[0.0001378206,0.0000942776,0.0001686093,0.00007140879,0.0001873883,0.0001859403,0.0001407401,0.0001977527,0.00007861687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345493,"about_ca_system_score_gemma":0.0001773497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001442427,"about_ca_topic_score_gemma":0.003139014,"domain_scores_codex":[0.99992,0.000006575516,0.000008410148,0.00002165066,0.00003046604,0.00001277681],"domain_scores_gemma":[0.9999418,0.00001072582,0.0000237647,0.00000437579,0.00001080318,0.000008512749],"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":[0.000009143208,0.000002914393,0.00003702063,0.00001790088,7.006547e-7,0.000008858731,0.000004202866,0.00003477532,0.9995326,0.000009762632,0.000004973536,0.0003370936],"study_design_scores_gemma":[0.000001610812,0.00005480627,0.0004592336,0.000001369294,0.000002522262,0.00001143329,0.000005244691,0.000454736,0.9987073,0.000003195344,0.0002970333,0.000001507982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969669,0.0003920522,0.001887836,0.00004251359,0.00001203809,0.0000229039,0.00007012925,0.00004476824,0.0005608428],"genre_scores_gemma":[0.9954959,0.0002615693,0.003659163,0.00001644606,0.000004069957,0.0000175172,0.00004535343,0.000008379777,0.0004916466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001442427,"threshold_uncertainty_score":0.002868056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004490572326972512,"score_gpt":0.2021425743709607,"score_spread":0.1976520020439882,"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."}}