{"id":"W4307159552","doi":"10.1002/eem2.12546","title":"Interdigital <scp>MnO<sub>2</sub></scp>/<scp>PEDOT</scp> Alternating Stacked Microelectrodes for <scp>High‐Performance On‐Chip</scp> Microsupercapacitor and Humidity Sensing","year":2022,"lang":"en","type":"article","venue":"Energy & environment materials","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; A&L Canada Laboratories (Canada)","funders":"National Key Research and Development Program of China; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Materials science; Capacitance; Pseudocapacitance; Microelectrode; Polyethylene; Microelectronics; Electrode; Nanotechnology; Optoelectronics; Chemical engineering; Supercapacitor; Composite material; 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":[0.00005965065,0.0004481346,0.0001762823,0.0001554191,0.0001222626,0.0002892839,0.0004627008,0.0003952165,0.0006869602],"category_scores_gemma":[0.0001272976,0.0002765835,0.0001639571,0.000211987,0.0001412919,0.0003377193,0.0002550288,0.0002957021,0.000282993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458485,"about_ca_system_score_gemma":0.0001379805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003452762,"about_ca_topic_score_gemma":0.001621385,"domain_scores_codex":[0.9999099,0.000005330891,0.000005204487,0.00002552727,0.00003484738,0.00001916415],"domain_scores_gemma":[0.9999315,0.000010643,0.00001949943,0.0000113445,0.0000165662,0.00001038998],"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":[0.00001035073,0.000006184956,0.0001255823,0.00003920411,0.000007721064,0.00006982599,0.000008762649,0.0001779717,0.9955919,0.00005783017,0.00006792979,0.003836773],"study_design_scores_gemma":[0.000001861972,0.00007017001,0.001481832,0.00000241786,0.0000158285,0.0002053848,0.00001792299,0.002238083,0.9945779,0.00004186499,0.001341399,0.000005346014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493032,0.002131919,0.04487511,0.0001398099,0.0001518962,0.00004177378,0.0003351995,0.0004764706,0.002544602],"genre_scores_gemma":[0.9701531,0.0007942189,0.02624954,0.00008011524,0.00002140821,0.00001936878,0.0001509692,0.00001879544,0.002512504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006869602,"threshold_uncertainty_score":0.002298176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015567032498245,"score_gpt":0.1936021097063322,"score_spread":0.1834464393813497,"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."}}