{"id":"W4229721981","doi":"10.1149/ma2020-02593015mtgabs","title":"Real-Time Monitoring for Electrochemical Analysis in Molten LiCl-KCl Eutectic Salt","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Molten salt chemistry and electrochemical processes","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Molten salt; Electrowinning; Electrochemistry; Eutectic system; Electrochemical cell; Electrode; Materials science; Molten salt reactor; Chemical engineering; Inorganic chemistry; Chemistry; Metallurgy; Electrolyte; Alloy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003895652,0.0005063395,0.0005315847,0.0005301986,0.0002263562,0.0005674896,0.000706681,0.000850061,0.001013375],"category_scores_gemma":[0.0006267387,0.0002810232,0.000264015,0.0004544768,0.000274589,0.0006865577,0.0003935023,0.0005860385,0.0004148299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003560983,"about_ca_system_score_gemma":0.0002584767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004656696,"about_ca_topic_score_gemma":0.00104407,"domain_scores_codex":[0.9993135,0.00006356979,0.00004318948,0.0002044288,0.0003234257,0.00005188079],"domain_scores_gemma":[0.9996789,0.0000701264,0.00007501255,0.00002960923,0.0001156526,0.00003092805],"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":[0.00004659875,0.00001547487,0.0004966496,0.0001061465,0.00000517519,0.0000763238,0.00003986,0.00006284616,0.9945971,0.00004283329,0.00009719602,0.004413733],"study_design_scores_gemma":[0.00000694912,0.0000963549,0.00182379,0.000006837093,0.00001140331,0.0001678801,0.00004501005,0.003965115,0.9927106,0.00004281958,0.00110884,0.00001435172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8253139,0.006112042,0.1588538,0.0005994971,0.0003483178,0.0002512327,0.001544436,0.003516016,0.003460707],"genre_scores_gemma":[0.9117732,0.002297201,0.0816192,0.0003092214,0.00006294598,0.0002678148,0.0005457005,0.0001308136,0.002993945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001013375,"threshold_uncertainty_score":0.003390074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365136005705923,"score_gpt":0.251198949676653,"score_spread":0.2375475896195938,"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."}}