{"id":"W1998950664","doi":"10.1016/j.electacta.2014.06.016","title":"Several ways to simulate time dependent liquid junction potentials by finite differences","year":2014,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Politechnika Krakowska; Universitat de València; Trent University","keywords":"Nernst equation; Electrolyte; Poisson's equation; Field (mathematics); Set (abstract data type); Chemistry; Current (fluid); Value (mathematics); Simple (philosophy); Poisson distribution; Thermodynamics; Applied mathematics; Statistical physics; Physics; Mathematics; Mechanics; Mathematical analysis; Statistics; Electrode; Computer science; Physical chemistry","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":[0.0001083341,0.0002499664,0.0003070652,0.00004167431,0.00009601567,0.00004333711,0.0002633371,0.0001643747,0.0006844412],"category_scores_gemma":[0.0003511254,0.0002267519,0.0001148528,0.0001470062,0.00002207422,0.00007962567,0.00008524792,0.0003167548,0.0004375089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006668064,"about_ca_system_score_gemma":0.00001142259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006830173,"about_ca_topic_score_gemma":9.539834e-7,"domain_scores_codex":[0.9984917,0.00002539166,0.0002799597,0.0003947388,0.0002790192,0.0005292061],"domain_scores_gemma":[0.9991683,0.000216711,0.0000534134,0.0002582655,0.00004093476,0.0002623542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001678421,0.00004471052,0.000003584766,0.00001315341,0.00004685822,9.551171e-7,0.00003062033,0.002000479,0.9956719,0.0001049393,0.001810489,0.000104412],"study_design_scores_gemma":[0.0003032724,0.000220235,0.00001226746,0.00001850408,0.00005204404,0.000004783226,0.000002530923,0.1585399,0.836111,0.000346527,0.004017566,0.0003714121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8699281,0.00001691567,0.1220377,0.001001432,0.00007791256,0.0001266488,0.00001221155,0.0003141748,0.006484866],"genre_scores_gemma":[0.9939829,0.000007994962,0.0001947545,0.0004464902,0.0002417847,0.000006776323,0.00005334443,0.00003124472,0.005034698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.159561,"threshold_uncertainty_score":0.9246674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006559176938838614,"score_gpt":0.1957070607206179,"score_spread":0.1891478837817793,"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."}}