{"id":"W2945701625","doi":"10.1098/rspa.2018.0852","title":"Methodology to calculate interfacial tension under electric field using pendent drop profile analysis","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd; Branco Weiss Fellowship – Society in Science; University of Alberta","keywords":"Surface tension; Electric field; Laplace's equation; Drop (telecommunication); Laplace transform; Adsorption; Mechanics; Chemistry; Thermodynamics; Materials science; Physics; Boundary value problem; Mathematics; Physical chemistry; Mathematical analysis; Mechanical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002652502,0.0001459678,0.000323712,0.00005860989,0.00007006327,0.00004509742,0.0002331935,0.00006412264,0.000006790909],"category_scores_gemma":[0.00004928882,0.00009826895,0.000215234,0.0008836125,0.00003945689,0.00006778594,0.0001250029,0.0001817554,0.000002703634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004130171,"about_ca_system_score_gemma":0.000007167941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009027827,"about_ca_topic_score_gemma":1.838958e-7,"domain_scores_codex":[0.9990897,0.000003239747,0.0001758699,0.0002094046,0.0002322691,0.0002895344],"domain_scores_gemma":[0.9996793,0.0001187511,0.00003144778,0.00006232457,0.00004030944,0.00006787114],"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":[0.000003699457,0.00003305026,0.0002955328,0.0002402999,0.0001801391,4.428883e-8,0.0006037555,0.4991489,0.4847406,0.01460757,0.00001794182,0.0001284712],"study_design_scores_gemma":[0.00004719643,0.00007108402,0.0005570779,0.00003457351,0.0001114002,0.00000133483,0.00006115081,0.9795322,0.01560655,0.003845718,0.000001172036,0.0001305485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319688,0.0000200303,0.06745072,0.00008272291,0.00005356614,0.0001389336,9.155995e-7,0.00005266592,0.0002316057],"genre_scores_gemma":[0.9879767,0.000002582817,0.01190675,0.00002982907,0.0000318884,0.000004843154,1.278928e-7,0.00001135607,0.00003593605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4803833,"threshold_uncertainty_score":0.4007291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330666979450213,"score_gpt":0.2431819057207371,"score_spread":0.2298752359262349,"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."}}