{"id":"W4379615222","doi":"10.1039/d3ta01021j","title":"3D printing of solvent-treated PEDOT:PSS inks for electromagnetic interference shielding","year":2023,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Electromagnetic shielding; Electromagnetic interference; Schematic; Shields; EMI; Materials science; PEDOT:PSS; 3D printing; Inkwell; Solvent; Interference (communication); Ammunition; Optoelectronics; Composite material; Electrical engineering; Polymer; Engineering; Metallurgy; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001280622,0.0005448909,0.0003242194,0.0004294254,0.0002795148,0.0005996656,0.0005799168,0.0007348659,0.004075077],"category_scores_gemma":[0.0002252692,0.0004947386,0.0004022598,0.0002847494,0.0002519097,0.0002987979,0.0003835559,0.0007173619,0.002221827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00032851,"about_ca_system_score_gemma":0.0001982507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002517267,"about_ca_topic_score_gemma":0.0006636793,"domain_scores_codex":[0.9998149,0.00001018956,0.00001338494,0.00004530719,0.0000774021,0.00003894543],"domain_scores_gemma":[0.9998685,0.00003986596,0.00002105221,0.00003512051,0.00001992256,0.00001551653],"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":[0.00004046824,0.00002049931,0.00005814692,0.00009008015,0.000005481254,0.0002485784,0.00002677909,0.0007692978,0.9911447,0.0005575882,0.0005659178,0.006472471],"study_design_scores_gemma":[0.00000703487,0.00002949878,0.0003678836,0.000004902768,0.000004443858,0.0001604548,0.000008325769,0.004363531,0.9913387,0.00009890051,0.003606351,0.000009866072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7852612,0.001713564,0.1518486,0.000544589,0.0009117134,0.0002750656,0.005793129,0.007286526,0.04636571],"genre_scores_gemma":[0.8319827,0.0009521944,0.1427837,0.0001950153,0.00003634198,0.0002670861,0.001873733,0.0004659482,0.02144337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004075077,"threshold_uncertainty_score":0.01363248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777441035248714,"score_gpt":0.2841528158297109,"score_spread":0.2563784054772237,"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."}}