{"id":"W4365788129","doi":"10.2139/ssrn.4417120","title":"Sonoprocessing of Oil: Asphaltene Declustering Behind Fine Ultrasonic Emulsions","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Asphaltene; Ultrasonic sensor; Materials science; Petroleum engineering; Mineralogy; Environmental science; Composite material; Geology; Chemical engineering; Acoustics; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001640956,0.0002647374,0.0002175706,0.0002928148,0.0001795234,0.0003580002,0.0001788237,0.0001850228,0.002637442],"category_scores_gemma":[0.0003256779,0.0001297898,0.0001294648,0.0001606178,0.0002923997,0.0004145182,0.0003250284,0.0005822267,0.0004194252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017688,"about_ca_system_score_gemma":0.0002108752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008771339,"about_ca_topic_score_gemma":0.0008457469,"domain_scores_codex":[0.9999011,0.000008026231,0.000003915946,0.00002523352,0.00002888621,0.00003292151],"domain_scores_gemma":[0.9998782,0.00004340702,0.00002018953,0.000009721099,0.00002678755,0.00002178009],"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":[0.0001265769,0.000008510369,0.0001071201,0.00003684147,0.000002514319,0.00005249443,0.00004277436,0.000204289,0.9964431,0.0001599347,0.00003177827,0.002784082],"study_design_scores_gemma":[0.000005042324,0.00007091506,0.0002929203,0.00000154476,0.000002724621,0.00002180116,0.00001553601,0.0007034393,0.9983285,0.00004699328,0.0005091489,0.000001492542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853042,0.0009036766,0.01121973,0.000103372,0.00004577756,0.00002829066,0.00008570452,0.00008716125,0.002222033],"genre_scores_gemma":[0.9947908,0.0005293394,0.001701685,0.00002218804,0.00001709362,0.000005563444,0.00007851315,0.00003334362,0.002821467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002637442,"threshold_uncertainty_score":0.008823156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823491826919565,"score_gpt":0.2723283235753065,"score_spread":0.2540934053061109,"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."}}