{"id":"W4322627635","doi":"10.1021/acs.jpcc.2c08274","title":"Solution NMR of Battery Electrolytes: Assessing and Mitigating Spectral Broadening Caused by Transition Metal Dissolution","year":2023,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Society; Faraday Institution","keywords":"Dissolution; Electrolyte; Battery (electricity); Transition metal; Materials science; Inorganic chemistry; Metal; Chemical engineering; Chemical physics; Chemistry; Physical chemistry; Thermodynamics; Metallurgy; Electrode; Physics; Engineering; Organic chemistry; Catalysis","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":[0.0002023497,0.0001026769,0.0001858703,0.00003344859,0.00006312117,0.00001819732,0.0001346864,0.0000496338,0.00000568329],"category_scores_gemma":[0.00005336422,0.00008199761,0.00006564462,0.0001982065,0.0001121904,0.0002144482,0.00002522681,0.0004623039,0.000001164213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008848816,"about_ca_system_score_gemma":0.00001137231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.096739e-7,"about_ca_topic_score_gemma":8.298807e-8,"domain_scores_codex":[0.9992152,0.00002282627,0.0002217379,0.00006635001,0.0002457271,0.0002281968],"domain_scores_gemma":[0.9995556,0.0001777293,0.00009959665,0.00008973658,0.00004030926,0.00003702908],"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":[0.000009639269,0.00001152883,0.000007121359,0.0000825428,0.00004284646,0.000003211688,0.0002006523,0.01174331,0.9854109,0.000002478641,0.000149997,0.002335751],"study_design_scores_gemma":[0.0001995683,0.0000428845,0.0001938468,0.00008440483,0.00003748,0.0000258719,0.0002784827,0.08433992,0.9140386,0.0006712516,0.00001075705,0.00007694703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851984,0.000149692,0.01406609,0.000292158,0.000009242865,0.00003358794,0.000004037282,0.00008326617,0.0001635091],"genre_scores_gemma":[0.9996717,0.00003827209,0.0001254653,0.000003044037,0.0001089767,0.000001154304,0.000004758486,0.0000170377,0.00002960149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07259662,"threshold_uncertainty_score":0.3343766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147318062562076,"score_gpt":0.2644185288745187,"score_spread":0.252945348248898,"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."}}