{"id":"W3117848718","doi":"10.1149/ma2020-023531mtgabs","title":"Understanding the Charge Storage Mechanism of Redox-Active Ionic Liquid Based Supercapacitors","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Supercapacitor; Electrolyte; Ionic liquid; Redox; Electrochemistry; Capacitance; Ionic bonding; Materials science; Electrode; Chemistry; Ion; Inorganic chemistry; Chemical engineering; Chemical physics; Organic chemistry; Physical chemistry","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":[0.0001715922,0.0003915665,0.0002758201,0.0003484134,0.0001678051,0.0003547556,0.0006955854,0.0005060712,0.0006194929],"category_scores_gemma":[0.0002288972,0.0001716319,0.0002453302,0.0002939787,0.0003029841,0.001294189,0.0001955132,0.0004681083,0.0001838789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003382591,"about_ca_system_score_gemma":0.0002132465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008141928,"about_ca_topic_score_gemma":0.0006155223,"domain_scores_codex":[0.9999007,0.000006486499,0.00001072842,0.00002335838,0.0000379183,0.00002079008],"domain_scores_gemma":[0.9999173,0.00002566012,0.00001670596,0.000007528335,0.00002463615,0.000008220792],"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":[0.00003841083,0.00001951238,0.0004565702,0.000220805,0.00000629526,0.0001367164,0.0000573116,0.001390131,0.990987,0.000893775,0.00004401274,0.005749414],"study_design_scores_gemma":[0.000005071041,0.00009670179,0.002680914,0.00002095455,0.00001549025,0.0001979337,0.0001391675,0.04264694,0.9513543,0.001293202,0.001525809,0.00002346289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614784,0.008722872,0.02623695,0.0003394783,0.00004421431,0.0000427082,0.0003702214,0.0001410829,0.002624139],"genre_scores_gemma":[0.9878663,0.004284597,0.006667737,0.00007047045,0.00002088294,0.00003896892,0.0002162271,0.00001241949,0.0008224147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008141928,"threshold_uncertainty_score":0.002454221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04263209255604385,"score_gpt":0.2201127799294045,"score_spread":0.1774806873733606,"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."}}