{"id":"W3082589250","doi":"10.1149/1945-7111/abb34c","title":"On the Relevance of Reporting Water Content in Highly Concentrated Electrolytes: The LiTFSI-Acetonitrile Case","year":2020,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Electrolyte; Electrochemistry; Electrochemical window; Acetonitrile; Lithium (medication); Salt (chemistry); Chemistry; Ionic conductivity; Solvent; Conductivity; Inorganic chemistry; Water content; Chemical engineering; Electrode; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001862366,0.0006612165,0.0005989961,0.0006780112,0.0004856458,0.001402166,0.0009715113,0.001453579,0.002081698],"category_scores_gemma":[0.006400463,0.0002198565,0.0002811476,0.0005978537,0.001551281,0.00202662,0.001141321,0.001224747,0.0006429544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004069382,"about_ca_system_score_gemma":0.0002969746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009939498,"about_ca_topic_score_gemma":0.0009733086,"domain_scores_codex":[0.9984714,0.0003591366,0.000101756,0.0004071312,0.0004942419,0.000166303],"domain_scores_gemma":[0.9972017,0.00185399,0.0002940617,0.0002361651,0.0003664588,0.00004762941],"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":[0.0004721909,0.0001030029,0.003639816,0.001351199,0.00007922152,0.001076593,0.0004540955,0.001027571,0.955156,0.006834493,0.001106998,0.02869871],"study_design_scores_gemma":[0.00001096243,0.0002277585,0.001459394,0.0001207591,0.00006433572,0.0005736987,0.0002968911,0.002674392,0.9847786,0.002017713,0.007744974,0.00003059622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7781758,0.07481499,0.08957989,0.006570456,0.001920549,0.0003436027,0.001480954,0.0006237318,0.04649005],"genre_scores_gemma":[0.9736028,0.01029568,0.01275334,0.0005771885,0.0001762545,0.00006982539,0.0003589859,0.00007219925,0.002093792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002081698,"threshold_uncertainty_score":0.00984925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184437702041725,"score_gpt":0.2195282005225589,"score_spread":0.1976838235021417,"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."}}