{"id":"W4376891871","doi":"10.1021/acs.jpcc.3c01396","title":"Quantifying Dissolved Transition Metals in Battery Electrolyte Solutions with NMR Paramagnetic Relaxation Enhancement","year":2023,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Society; Faraday Institution","keywords":"Electrolyte; Dissolution; Chemistry; Relaxation (psychology); Lithium (medication); Transition metal; Analytical Chemistry (journal); Inorganic chemistry; Battery (electricity); Aqueous solution; Physical chemistry; Electrode; Chromatography; Thermodynamics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006153522,0.000503113,0.000281434,0.0003630494,0.0002116762,0.0003800619,0.0003774254,0.0005084731,0.001067494],"category_scores_gemma":[0.0007560033,0.0002673885,0.0002356893,0.0002486287,0.0002333665,0.0005551997,0.0003243817,0.0005601339,0.0004242373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002917158,"about_ca_system_score_gemma":0.0001870453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005643853,"about_ca_topic_score_gemma":0.001132365,"domain_scores_codex":[0.9997247,0.00004992703,0.00001664486,0.00007098971,0.0001028967,0.00003488787],"domain_scores_gemma":[0.9997564,0.00007898374,0.00004868637,0.00002130109,0.00008386432,0.00001070977],"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":[0.0000272855,0.00001018315,0.0003131075,0.00008122418,0.000005861122,0.00002175757,0.00002997641,0.00009272395,0.9953856,0.00005039396,0.00005432594,0.003927604],"study_design_scores_gemma":[0.000003226749,0.0001015966,0.0009970824,0.00001054142,0.00001304281,0.00006443608,0.00003811076,0.001369424,0.995992,0.00006892431,0.001333349,0.000008217858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9039071,0.004320874,0.08624437,0.0003160414,0.0001192047,0.0001399392,0.000697765,0.000683678,0.003571031],"genre_scores_gemma":[0.877679,0.004813259,0.1106714,0.0003119736,0.00005747368,0.0003273982,0.000878025,0.0001245937,0.0051369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001067494,"threshold_uncertainty_score":0.003571093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092335998626557,"score_gpt":0.2555120205265596,"score_spread":0.2345886605402941,"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."}}