{"id":"W2794381681","doi":"10.1149/2.0861802jes","title":"A New Method for Determining the Concentration of Electrolyte Components in Lithium-Ion Cells, Using Fourier Transform Infrared Spectroscopy and Machine Learning","year":2018,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fourier transform infrared spectroscopy; Electrolyte; Chemistry; Lithium (medication); Analytical Chemistry (journal); Inductively coupled plasma; Ion chromatography; Solvent; Ion; Infrared spectroscopy; Infrared; Chromatography; Electrode; Chemical engineering; Plasma; Organic 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":[0.0004118397,0.0001182985,0.0002253664,0.00002463112,0.00009451127,0.00002054816,0.0002738902,0.0001103544,0.000003548834],"category_scores_gemma":[0.0001069808,0.00007674771,0.0001448813,0.0002394744,0.00008358614,0.0001215167,0.00003624141,0.0007610212,5.6643e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231884,"about_ca_system_score_gemma":0.00004734369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003746306,"about_ca_topic_score_gemma":0.000002715945,"domain_scores_codex":[0.9989896,0.00004102545,0.0003392257,0.00009086626,0.0002182325,0.0003210661],"domain_scores_gemma":[0.9994159,0.0002089871,0.0001516981,0.00009904426,0.0000851911,0.00003919394],"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":[0.00009113063,0.000009895182,0.0004780711,0.00002536175,0.00004658492,1.069831e-7,0.0003502287,0.0001943311,0.9960494,0.000006182602,0.00009503544,0.002653675],"study_design_scores_gemma":[0.000699593,0.0001661014,0.0001402398,0.00003999713,0.00002111573,0.00001174101,0.00003448582,0.201416,0.795691,0.001246853,0.0004711413,0.000061686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4284008,0.0002698355,0.5708375,0.0002395823,0.00004407315,0.0001710505,9.006241e-7,0.00001498094,0.00002126943],"genre_scores_gemma":[0.7227747,0.0002389809,0.2767274,0.00005045532,0.0001552636,0.000002745791,0.00000109049,0.00002543294,0.00002391655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2943739,"threshold_uncertainty_score":0.3306301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994996165567579,"score_gpt":0.2922263169598295,"score_spread":0.2722763553041537,"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."}}