{"id":"W4321441204","doi":"10.2139/ssrn.4366253","title":"Electrochemically Synthesized Graphene/Tempo-Oxidized Cellulose Nanofibrils Hydrogels: Highly Conductive Green Inks for 3d Printing of Robust Structured Emi Shielding Aerogels","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Waterloo; University of Calgary","funders":"","keywords":"Materials science; Graphene; Self-healing hydrogels; Cellulose; Electromagnetic shielding; EMI; 3D printing; Electrical conductor; Composite material; Chemical engineering; Electromagnetic interference; Nanotechnology; Polymer chemistry; Computer science","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":[0.0001965888,0.000322163,0.0001337068,0.0002523982,0.0001327752,0.0003652472,0.000281076,0.000301476,0.001383114],"category_scores_gemma":[0.0002174161,0.0001612543,0.0001861798,0.0001340759,0.0001751786,0.000336895,0.000219731,0.0004489455,0.0003988333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806104,"about_ca_system_score_gemma":0.0001128657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003325396,"about_ca_topic_score_gemma":0.001169789,"domain_scores_codex":[0.9998683,0.000009969853,0.00001104304,0.00003573442,0.00004226016,0.00003262402],"domain_scores_gemma":[0.9998794,0.00003151599,0.00003589041,0.00001492196,0.00001700753,0.00002120574],"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":[0.00001377049,0.00000763657,0.00002560248,0.00002767356,0.000003033918,0.00004378141,0.0000193654,0.0001368185,0.9978169,0.0001056749,0.0000535646,0.001746056],"study_design_scores_gemma":[0.000001475376,0.000009209278,0.000145029,0.000001346383,0.000002049159,0.00001901833,0.000005304202,0.0004514378,0.9988674,0.0000145724,0.0004806163,0.000002621772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646215,0.001226929,0.02500833,0.0001966169,0.0001205808,0.00005209809,0.0007274868,0.0006518491,0.007394597],"genre_scores_gemma":[0.9799184,0.0004536221,0.01575064,0.0000591333,0.00001695696,0.00002872293,0.0002057884,0.0001044611,0.003462302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001383114,"threshold_uncertainty_score":0.004626989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845010606165384,"score_gpt":0.2398252935294725,"score_spread":0.2213751874678186,"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."}}