{"id":"W4285398585","doi":"10.1149/ma2022-014561mtgabs","title":"Zinc-Ion Capacitors Working at Extreme Conditions","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced battery technologies research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Anode; Capacitor; Electrolyte; Supercapacitor; Materials science; Cathode; Energy storage; Capacitance; Carbon fibers; Electrode; Engineering physics; Nanotechnology; Chemical engineering; Optoelectronics; Electrical engineering; Composite material; Chemistry; Voltage; Engineering; Power (physics); Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002843716,0.00015583,0.0001359489,0.0001900246,0.0005759477,0.00003206853,0.0003222489,0.00006718399,0.0003328622],"category_scores_gemma":[0.000183302,0.0001884833,0.00004954128,0.0003323339,0.00006313527,0.00009398948,0.000299756,0.0006719404,0.0001333077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006203957,"about_ca_system_score_gemma":0.00001280786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001663407,"about_ca_topic_score_gemma":0.00001442288,"domain_scores_codex":[0.9985853,0.00003236148,0.0002615137,0.0002349445,0.0003820132,0.0005038278],"domain_scores_gemma":[0.9993027,0.0002203398,0.00005963098,0.0003251627,0.00002042609,0.00007167816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004020097,0.00001678476,0.001236041,0.00001875423,0.0000164244,0.00006933948,0.0001183613,0.7783182,0.2141836,0.00001309792,0.005091849,0.0009135737],"study_design_scores_gemma":[0.0007714291,0.0001151988,0.01563249,0.0001777201,0.00002313924,0.000192927,0.002108395,0.02088773,0.6274505,0.002085453,0.329384,0.001171001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9046826,0.0002003395,0.00002365054,0.0001764323,0.0007735558,0.0001417219,0.00002092679,0.001380504,0.09260023],"genre_scores_gemma":[0.9981859,0.00001832271,0.0009038343,0.00002435889,0.0001266778,0.00009905789,0.00003573899,0.00005798345,0.000548102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7574304,"threshold_uncertainty_score":0.7686126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03863527961766245,"score_gpt":0.2603377839654869,"score_spread":0.2217025043478245,"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."}}