{"id":"W2002740774","doi":"10.1016/j.fuel.2013.01.002","title":"Analytical model for zeta potential of asphaltene","year":2013,"lang":"en","type":"article","venue":"Fuel","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrolyte; Salt (chemistry); Aqueous solution; Zeta potential; Chemistry; Asphaltene; Monotonic function; Inorganic chemistry; Thermodynamics; Physical chemistry; Materials science; Organic chemistry; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001549599,0.0005861167,0.000433169,0.0005850259,0.0004009228,0.000571834,0.001188719,0.0007865581,0.002164676],"category_scores_gemma":[0.0004644808,0.0001640926,0.0006388284,0.0003655168,0.0002564608,0.0009761545,0.0003862618,0.0005763837,0.001123772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008221869,"about_ca_system_score_gemma":0.000710854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005926061,"about_ca_topic_score_gemma":0.003236069,"domain_scores_codex":[0.9998928,0.00001324374,0.000004588233,0.00002445841,0.00004572959,0.00001915414],"domain_scores_gemma":[0.9999028,0.00002124595,0.000007120047,0.00000821431,0.00005541685,0.000005060226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007102107,0.00009212554,0.001364585,0.0003972253,0.00004986706,0.0006460954,0.0002344045,0.8217975,0.05911374,0.08072901,0.00492774,0.03057669],"study_design_scores_gemma":[0.00000368759,0.00001123322,0.0001559049,0.000007899163,0.000005650367,0.00006033585,0.00002040823,0.9891133,0.002954046,0.005186698,0.002474493,0.000006283442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08855978,0.002792328,0.8491046,0.000873234,0.0003775248,0.0001991104,0.0008331244,0.00068275,0.05657759],"genre_scores_gemma":[0.9126568,0.002393994,0.02646424,0.0002400179,0.0001173984,0.0003076652,0.0007044502,0.0001701906,0.0569452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005926061,"threshold_uncertainty_score":0.01178318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622320276569329,"score_gpt":0.2529122975268538,"score_spread":0.2366890947611606,"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."}}