{"id":"W4294877862","doi":"10.1088/1361-6528/ac8f50","title":"Conformal atomic layer deposition of RuO <i> <sub>x</sub> </i> on highly porous current collectors for micro-supercapacitor applications","year":2022,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"H2020 European Research Council; Centre National de la Recherche Scientifique; European Commission","keywords":"Materials science; Supercapacitor; Atomic layer deposition; Conformal coating; Deposition (geology); Porosity; Nanotechnology; Substrate (aquarium); Layer (electronics); Ruthenium oxide; Chemical engineering; Electrode; Capacitance; Coating; Composite material; Electrochemistry","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":[0.000302635,0.0001889175,0.0003180494,0.000261294,0.0004430833,0.00002678182,0.0004173714,0.0001821926,0.00009424658],"category_scores_gemma":[0.00003621536,0.0001958098,0.00008971418,0.0003437898,0.0001854052,0.0001083402,0.0001233185,0.0001753816,0.00005301683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002505339,"about_ca_system_score_gemma":0.0001041282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003111971,"about_ca_topic_score_gemma":0.000005913484,"domain_scores_codex":[0.998424,0.00007501034,0.0004947799,0.0004057925,0.0002443923,0.0003560606],"domain_scores_gemma":[0.9990615,0.0001011431,0.0002251645,0.0004410346,0.000127521,0.00004360943],"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":[0.0001566242,0.0002010564,0.00003640452,0.00004393931,0.000007722197,4.989562e-7,0.0001059972,0.00003268302,0.9873835,0.007207794,0.001152998,0.00367076],"study_design_scores_gemma":[0.000656859,0.000435009,0.00004123721,0.000009762114,0.00002828945,0.00002931096,0.0001488621,0.00006962805,0.9834018,0.0007460722,0.01423486,0.0001983643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931615,0.0001950982,0.002858682,0.0002743553,0.001421611,0.001138331,0.0006806424,0.0002344624,0.00003533554],"genre_scores_gemma":[0.9965428,0.00004372145,0.0008221106,0.000125737,0.0001486192,0.002147408,0.0001307835,0.00003130447,0.000007570205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01308186,"threshold_uncertainty_score":0.7984892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324817858388943,"score_gpt":0.2334019838494718,"score_spread":0.2201538052655823,"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."}}