{"id":"W4327627023","doi":"10.1016/j.colsurfa.2023.131290","title":"New charged aggregate mathematical models to predict the behavior, structural parameters, and geometrical features of microemulsions","year":2023,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Surfactants and Colloidal Systems","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; University of Calgary","keywords":"Microemulsion; DLVO theory; Electrolyte; Aggregate (composite); Colloid; Pulmonary surfactant; Enhanced oil recovery; Experimental data; Characterization (materials science); Thermodynamics; Aqueous solution; Materials science; Chemistry; Statistical physics; Nanotechnology; Mathematics; Petroleum engineering; Physics; Organic chemistry; Physical chemistry; Geology","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":[0.000781807,0.0007023056,0.0007390579,0.001057932,0.0004882498,0.001060339,0.001477737,0.001407694,0.001000303],"category_scores_gemma":[0.00229175,0.0004819193,0.001347922,0.0005869096,0.0005485799,0.001887261,0.0008276717,0.00122271,0.0004014305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009466733,"about_ca_system_score_gemma":0.0007299285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003511113,"about_ca_topic_score_gemma":0.003196537,"domain_scores_codex":[0.9998399,0.0000395892,0.00001175367,0.00002484216,0.00005962474,0.00002425143],"domain_scores_gemma":[0.9992089,0.0003715826,0.0001124326,0.0000601085,0.0001994593,0.00004751442],"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":[0.00001560048,0.00006666334,0.0005151088,0.00003050051,0.00003377773,0.00005686568,0.00004198778,0.9498567,0.003554576,0.0402256,0.0006607713,0.004941791],"study_design_scores_gemma":[0.000001349011,0.000002762706,0.000035799,0.000001118456,0.000002196546,0.000003343703,0.000001584619,0.9976427,0.0001485676,0.002024643,0.0001338801,0.000002039846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08530874,0.001031969,0.9047537,0.0005195996,0.0001535537,0.00007391634,0.0001875943,0.0003363145,0.007634584],"genre_scores_gemma":[0.8473263,0.00171048,0.1305275,0.0005298921,0.0002762223,0.0003953842,0.0004263588,0.0004350086,0.01837284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003511113,"threshold_uncertainty_score":0.006981313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278601320221535,"score_gpt":0.213572330516509,"score_spread":0.2007863173142936,"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."}}