{"id":"W2513035007","doi":"10.1021/acsami.6b08298","title":"Highly Oriented Graphene Sponge Electrode for Ultra High Energy Density Lithium Ion Hybrid Capacitors","year":2016,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Materials science; Graphene; Capacitor; Electrode; Lithium (medication); Energy density; Nanotechnology; Ion; Sponge; Supercapacitor; Optoelectronics; Engineering physics; Electrochemistry; Voltage; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003047031,0.0005260305,0.0006379238,0.0001492441,0.0001192698,0.0001162168,0.0003986969,0.0001534971,0.0002492936],"category_scores_gemma":[0.00003323845,0.0004123311,0.00002346032,0.00009513173,0.00011744,0.0002921922,0.00007825663,0.00005632831,0.00007673386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772856,"about_ca_system_score_gemma":0.00001314844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005533099,"about_ca_topic_score_gemma":0.00001291615,"domain_scores_codex":[0.9976634,0.0000512019,0.0007212196,0.0005710965,0.0002388133,0.0007542425],"domain_scores_gemma":[0.9989427,0.000146189,0.0001910675,0.0005468823,0.0000890419,0.00008412269],"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":[0.0004129012,0.00003381381,0.000006190081,0.0001050862,0.00012157,0.000002775156,0.00005272603,0.00004633694,0.9826443,0.01287596,0.002871087,0.00082726],"study_design_scores_gemma":[0.0008441802,0.0001128587,0.00005200691,0.00008015476,0.00004981411,0.000009055235,0.00001588575,2.863844e-7,0.9847944,0.01157583,0.001935844,0.000529631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705883,0.00004874752,0.02271107,0.0001012921,0.004617527,0.000494198,0.0005999687,0.0006832965,0.000155633],"genre_scores_gemma":[0.996939,0.000157931,0.001073398,0.0001232604,0.0007375827,0.0004745675,0.0001178725,0.000151687,0.0002246951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02635074,"threshold_uncertainty_score":0.9998329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006713752698128387,"score_gpt":0.2026485039207062,"score_spread":0.1959347512225778,"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."}}