{"id":"W2791379910","doi":"10.1021/acs.iecr.8b00412","title":"Response to “Comments on ‘Evaluation of the Performance of Newly Developed Demulsifiers on Dilbit Dehydration, Demineralization, and Hydrocarbon Losses to Tailings’”","year":2018,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baker Hughes (Canada)","funders":"","keywords":"Notice; Citation; Information retrieval; Trustworthiness; Computer science; Library science; Political science; Internet privacy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003381943,0.001253186,0.0006733949,0.0009486972,0.002512773,0.001519103,0.001117346,0.006420628,0.2276578],"category_scores_gemma":[0.01491575,0.0005206793,0.0009768844,0.0007377884,0.001016541,0.001364709,0.001306791,0.003486378,0.09150822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002664964,"about_ca_system_score_gemma":0.004100907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01359843,"about_ca_topic_score_gemma":0.02678896,"domain_scores_codex":[0.9958299,0.000454819,0.0002281763,0.0002316208,0.002807356,0.0004482403],"domain_scores_gemma":[0.9877587,0.002156208,0.0006317222,0.0003472143,0.008345742,0.0007603393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000541787,0.00002153028,0.00008459185,0.00006352316,0.000002340086,0.00005008991,0.00002941661,0.00001750426,0.000811705,0.00009311717,0.9926643,0.006107688],"study_design_scores_gemma":[0.00002949633,0.0001188724,0.0008009039,0.00007342418,0.00001083885,0.00005577965,0.0001598323,0.00004933933,0.002555025,0.0001244335,0.9959943,0.00002774957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009901676,0.003760391,0.004336844,0.4331901,0.3152274,0.00138721,0.009686927,0.005013154,0.2174964],"genre_scores_gemma":[0.01721895,0.002138509,0.003112742,0.1678915,0.01441766,0.0004086721,0.004229682,0.001486151,0.7890961],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2276578,"threshold_uncertainty_score":0.7615913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021240322723459,"score_gpt":0.3558197048935979,"score_spread":0.2536956726212519,"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."}}