{"id":"W4210873229","doi":"10.1007/978-3-030-92381-5_38","title":"Characterization of AlCl3-Urea Electrolyte for Speciation, Conductivity, and Electrochemical Stability and Its Application in Al-Ion Batteries","year":2022,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Ionic liquids properties and applications","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrolyte; Dielectric spectroscopy; Electrochemistry; Inorganic chemistry; Molar conductivity; Urea; Ionic liquid; Battery (electricity); Ionic conductivity; Conductivity; Chemistry; Cyclic voltammetry; Ion; Materials science; Electrode; Organic chemistry; Physical chemistry; Catalysis; Elemental analysis","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":[0.0001814051,0.0002421525,0.0002308714,0.0002887669,0.0002834866,0.000253941,0.0005227482,0.0003672664,0.001256275],"category_scores_gemma":[0.0002871948,0.0001169141,0.000195043,0.0004959721,0.0001382488,0.0003176796,0.0001772361,0.0003129576,0.0004191244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576709,"about_ca_system_score_gemma":0.0003114574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001748175,"about_ca_topic_score_gemma":0.004656955,"domain_scores_codex":[0.9998643,0.00001048982,0.00001082743,0.00002559712,0.00007445071,0.00001420692],"domain_scores_gemma":[0.9998903,0.00002571942,0.00001385218,0.000008902103,0.00005287953,0.000008257295],"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":[0.00003369814,0.00001470991,0.0001285556,0.00005427607,0.000002814429,0.00005608855,0.00003009302,0.0000679728,0.9939921,0.00008469886,0.00009985411,0.005435082],"study_design_scores_gemma":[0.000001119055,0.00004790591,0.000792851,0.000003845295,0.0000033405,0.0001026732,0.00001632477,0.0005640138,0.9967859,0.00002881264,0.001649224,0.000004135697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586776,0.009232383,0.02122954,0.0002502041,0.00007862624,0.0001115454,0.001674599,0.0003195558,0.008425977],"genre_scores_gemma":[0.9605439,0.002991763,0.02193396,0.0001316448,0.00001692139,0.00009379241,0.001712331,0.0001134301,0.01246229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001748175,"threshold_uncertainty_score":0.004202724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734010604172076,"score_gpt":0.2205587049020568,"score_spread":0.2032185988603361,"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."}}