{"id":"W4401257782","doi":"10.1002/cnma.202400113","title":"Filamentous Aerogels for Electromagnetic Shielding","year":2024,"lang":"en","type":"article","venue":"ChemNanoMat","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aerogel; Electromagnetic shielding; Electromagnetic interference; EMI; Electromagnetic radiation; Materials science; Attenuation; Nanotechnology; Porosity; Computer science; Physics; Telecommunications; Optics; Composite material","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004086489,0.0002114226,0.0002411265,0.0000957743,0.0001066086,0.0004655766,0.0002799856,0.0001012587,0.00324917],"category_scores_gemma":[0.00007890163,0.0001937429,0.0001091362,0.0001729184,0.00006487236,0.0001962982,0.00005561395,0.00006178913,0.001085543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009948456,"about_ca_system_score_gemma":0.00007985136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006260034,"about_ca_topic_score_gemma":0.000002152995,"domain_scores_codex":[0.9983507,0.00003394982,0.0003415688,0.0004949199,0.0001996406,0.0005791635],"domain_scores_gemma":[0.99931,0.0001988786,0.00005094237,0.0003013691,0.0000446611,0.00009420141],"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":[0.00001651475,0.00001857517,0.000002050241,0.0001849001,0.000007783737,0.000009983107,0.0001029627,0.000001580681,0.9872476,0.004160402,0.00746537,0.0007822862],"study_design_scores_gemma":[0.0002244183,0.0003216506,0.00005447611,0.00007469868,0.00003490166,0.00006273466,0.00001493563,0.0002188305,0.9777629,0.005951903,0.01504197,0.0002365307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924409,0.001840698,0.0009275394,0.0004420438,0.001091845,0.0004913601,0.00003094756,0.0006042665,0.002130365],"genre_scores_gemma":[0.9860859,0.00003066927,0.007738692,0.0001922824,0.0004439903,0.0002654989,0.00002267226,0.00005984098,0.00516049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009484645,"threshold_uncertainty_score":0.9996922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344040907913657,"score_gpt":0.2616020921173069,"score_spread":0.2481616830381703,"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."}}