{"id":"W2011814646","doi":"10.1016/j.compositesa.2010.10.003","title":"Copper nanowire/polystyrene nanocomposites: Lower percolation threshold and higher EMI shielding","year":2010,"lang":"en","type":"article","venue":"Composites Part A Applied Science and Manufacturing","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":252,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Materials science; Composite material; Composite number; Percolation threshold; Molding (decorative); Electromagnetic shielding; Compression molding; Polystyrene; Electrical conductor; Copper; Percolation (cognitive psychology); Nanocomposite; Electrical resistivity and conductivity; Polymer; Electrical engineering; Mold; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001339182,0.0003251701,0.0001579549,0.0002428088,0.0002520932,0.0002782083,0.0001534277,0.000305609,0.001594677],"category_scores_gemma":[0.0001851094,0.000219373,0.0001037659,0.0001953669,0.0002034867,0.0002856358,0.0002137057,0.000254097,0.0003221176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002615761,"about_ca_system_score_gemma":0.0001918845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000711251,"about_ca_topic_score_gemma":0.002046672,"domain_scores_codex":[0.9998807,0.00001266974,0.000005615792,0.00003244168,0.00004056023,0.00002801712],"domain_scores_gemma":[0.9998487,0.00003372142,0.00003474758,0.00001009458,0.00003583914,0.00003676207],"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":[0.00006388342,0.00001080214,0.0000616019,0.0000181589,0.000002009406,0.00002718958,0.0000193819,0.0001013925,0.9988921,0.000158323,0.00005816664,0.0005870134],"study_design_scores_gemma":[0.000004900173,0.00006918506,0.0004338238,0.00000102707,0.000006011793,0.00002393415,0.00001522067,0.0007665205,0.998287,0.00002906765,0.0003608334,0.000002408354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938802,0.0003751969,0.001928967,0.00004783984,0.00002260669,0.00000751406,0.00004717772,0.0000767063,0.003613845],"genre_scores_gemma":[0.9966137,0.00009115042,0.00107235,0.00001125152,0.000004071073,0.000005525877,0.00004066291,0.00002313745,0.002138268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001594677,"threshold_uncertainty_score":0.005334675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051811866356767,"score_gpt":0.2282300886876849,"score_spread":0.2177119700241172,"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."}}