{"id":"W2958981233","doi":"10.1002/smll.201970143","title":"3D Microsupercapacitors: 3D Interdigitated Microsupercapacitors with Record Areal Cell Capacitance (Small 27/2019)","year":2019,"lang":"en","type":"article","venue":"Small","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège de Maisonneuve; Institut National de la Recherche Scientifique","funders":"","keywords":"Materials science; Capacitance; Supercapacitor; Microscale chemistry; Wafer; Footprint; Nanotechnology; Electrode; Electronics; Optoelectronics; Solid-state; Energy storage; Engineering physics; Electrical engineering; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006505183,0.0008089553,0.000879065,0.0002578982,0.0002482925,0.0006501628,0.001021228,0.0004004843,0.001668757],"category_scores_gemma":[0.00006156196,0.0006797517,0.0001878084,0.0004633495,0.0004488027,0.0008664973,0.0001284816,0.0004069609,0.005378543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003262026,"about_ca_system_score_gemma":0.0001814912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083209,"about_ca_topic_score_gemma":0.0003020415,"domain_scores_codex":[0.9956239,0.000261832,0.0009608034,0.001425319,0.0004728482,0.001255243],"domain_scores_gemma":[0.9973609,0.0001886285,0.0003025778,0.001358435,0.0004392614,0.0003502149],"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":[0.0003291439,0.0002100084,0.01001101,0.0001662193,0.00002670516,0.00001819052,0.002183836,0.00001978908,0.984301,0.00006529038,0.002031566,0.0006371846],"study_design_scores_gemma":[0.00210044,0.0009702877,0.00249031,0.0003683589,0.00008294381,0.0001275801,0.001829288,0.00009491097,0.9631176,0.0001196067,0.02711007,0.001588586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836849,0.0001933688,0.0008187929,0.0001215792,0.00634267,0.0009874323,0.0003451781,0.0004702562,0.007035827],"genre_scores_gemma":[0.9706661,0.00006631573,0.0241741,0.0004482508,0.0009475778,0.00009070822,0.0001415291,0.0001841063,0.003281332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0250785,"threshold_uncertainty_score":0.9995654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170425533731739,"score_gpt":0.1955997470203557,"score_spread":0.1838954916830383,"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."}}