{"id":"W4386704026","doi":"10.1063/5.0167465","title":"Continuous medium approach to approximate the high concentrated aqueous electrolyte with different types of electrochemical structure","year":2023,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Chengdu University; Institut Universitaire de France; National Research Council of Thailand; Agence Nationale de la Recherche; Vidyasirimedhi Institute of Science and Technology; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal","keywords":"Electrolyte; Electrochemical window; Aqueous solution; Electrochemistry; Oxygen evolution; Chemistry; Salt (chemistry); Strong electrolyte; Inorganic chemistry; Chemical engineering; Electrode; Ionic conductivity; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006721578,0.0001583846,0.0003310669,0.00001817165,0.00002276603,0.00001378045,0.000394845,0.00006137784,0.000002374884],"category_scores_gemma":[0.00002143313,0.00007188815,0.0000405396,0.0002596791,0.0001138364,0.00003948902,0.0000444328,0.0003485855,8.200816e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003069336,"about_ca_system_score_gemma":0.00001264108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.741182e-7,"about_ca_topic_score_gemma":8.624369e-8,"domain_scores_codex":[0.9991857,0.00001795151,0.0002462634,0.00006849047,0.000221692,0.0002599163],"domain_scores_gemma":[0.9995036,0.00009680669,0.0001208101,0.00018017,0.00006144866,0.00003713831],"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":[0.0001447042,0.00001512988,0.000005628573,0.00003259737,0.0001021093,0.000001209133,0.0001143343,0.002669508,0.9958074,0.0003232095,0.0003149049,0.0004692645],"study_design_scores_gemma":[0.0002521187,0.00008706366,0.00002385079,0.00002484323,0.00005939909,0.00003501664,0.00004804929,0.001195073,0.9892799,0.008874927,0.00002639408,0.00009334262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920734,0.0001119554,0.007276547,0.000211115,0.00005719934,0.0001180047,0.000007358572,0.0001023526,0.00004210041],"genre_scores_gemma":[0.9993922,0.00006178045,0.0003083928,0.00003237313,0.0001661767,0.000003283867,0.000006560583,0.00002622533,0.000002982753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008551717,"threshold_uncertainty_score":0.2931514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004796950775374034,"score_gpt":0.1839234314378723,"score_spread":0.1791264806624983,"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."}}