{"id":"W2787968003","doi":"10.2118/189499-ms","title":"The Remediation of Oilfield Asphaltenic Deposits: Near-Well-Bore Application","year":2018,"lang":"en","type":"article","venue":"SPE International Conference and Exhibition on Formation Damage Control","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nalco (Canada)","funders":"","keywords":"Asphaltene; Environmental remediation; Petroleum engineering; Petroleum; Dissolution; Wellbore; Deposition (geology); Solvent; Chemical engineering; Petroleum industry; Chemistry; Environmental science; Waste management; Geology; Organic chemistry; Engineering; Environmental engineering; Contamination","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":[],"consensus_categories":[],"category_scores_codex":[0.0002070121,0.0001100006,0.0001187741,0.00006635553,0.0003073759,0.0001742835,0.0001933214,0.00007981352,0.0003027389],"category_scores_gemma":[0.0001107322,0.00008625021,0.0000572981,0.00009048187,0.0001524985,0.0003883154,0.00002112501,0.0001248101,0.00006499986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003953776,"about_ca_system_score_gemma":0.00003862341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002627474,"about_ca_topic_score_gemma":0.00007828765,"domain_scores_codex":[0.9989843,0.00002305426,0.0003702042,0.000164858,0.0003336254,0.0001239017],"domain_scores_gemma":[0.9987802,0.00009544478,0.0003384882,0.0001794742,0.0005585467,0.00004786621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00101673,0.0002210513,0.003389979,0.0001541643,0.0002875101,0.000002394954,0.00127951,0.000197805,0.3340853,0.07104873,0.001649278,0.5866675],"study_design_scores_gemma":[0.003960769,0.0002622484,0.002917985,0.0003914976,0.0001578855,0.00001871321,0.001498994,0.7084719,0.2329147,0.00818462,0.04074884,0.0004718485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7023686,0.0001473403,0.07456232,0.01040461,0.0002771583,0.00009157851,0.00009478744,0.0001400956,0.2119135],"genre_scores_gemma":[0.9979341,0.0001859136,0.00008207499,0.0002866853,0.0002192375,0.00002804168,0.0001825506,0.000006485095,0.001074909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7082741,"threshold_uncertainty_score":0.3517182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071098565750606,"score_gpt":0.2542186469360057,"score_spread":0.2435076612784996,"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."}}