{"id":"W4399682684","doi":"10.17683/ijomam/issue16.22","title":"ADVANCEMENTS IN CELLULOSE/REDUCED GRAPHENE OXIDE COMPOSITES: SYNTHESIS, CHARACTERIZATION AND APPLICATIONS IN TRANSISTOR TECHNOLOGIES","year":2024,"lang":"en","type":"article","venue":"International Journal of Mechatronics and Applied Mechanics","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Concordia University","funders":"","keywords":"Graphene; Oxide; Materials science; Cellulose; Characterization (materials science); Transistor; Nanotechnology; Composite material; Chemical engineering; Electrical engineering; Engineering; Metallurgy","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":[0.0004358981,0.0001247888,0.0002065408,0.0003633611,0.00002771869,0.0001316909,0.0002187056,0.00008585172,0.0000180318],"category_scores_gemma":[0.00001645427,0.000111772,0.00002940209,0.0001472052,0.00002474833,0.0002437738,0.00004624829,0.0001287591,0.000002435415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001179574,"about_ca_system_score_gemma":0.00004184812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007975642,"about_ca_topic_score_gemma":0.000006534705,"domain_scores_codex":[0.9989249,0.00002150088,0.0004681546,0.0002092465,0.0002422411,0.0001339718],"domain_scores_gemma":[0.9996115,0.00007181801,0.0001405917,0.00007805877,0.0000668806,0.00003112467],"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":[0.0000428952,0.00005382691,0.0000308457,0.00003128143,0.0000121612,0.000003427856,0.0001446344,0.00002644143,0.870494,0.11457,0.00000161299,0.01458882],"study_design_scores_gemma":[0.0005525157,0.00006099895,0.0003495959,0.0002995828,0.00003375299,0.00003535757,0.000899063,0.002713292,0.9678878,0.02412767,0.002820924,0.0002194171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93179,0.001039527,0.06609805,0.0003812759,0.0004144195,0.0001909116,0.00004219167,0.00003192046,0.00001169007],"genre_scores_gemma":[0.9944488,0.002206928,0.003176526,0.00002054726,0.00005822148,0.00005583109,0.00001661119,0.00001404291,0.000002504285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09739383,"threshold_uncertainty_score":0.4557929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008527073849455913,"score_gpt":0.2287331029357946,"score_spread":0.2202060290863387,"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."}}