{"id":"W7116849533","doi":"10.1080/10667857.2025.2602641","title":"Absorption-dominant shielding effectiveness of carbon-based nanocomposites with enhanced dielectric and magnetic losses","year":2025,"lang":"en","type":"article","venue":"Materials Technology","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Dielectric; Nanocomposite; Electromagnetic shielding; Dielectric loss; Permittivity; Magnetic field","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":[0.000117891,0.0002864168,0.0001048221,0.0003689486,0.0001285818,0.0001812158,0.0001559209,0.0002203688,0.0006611648],"category_scores_gemma":[0.0002373656,0.0001328399,0.0001244284,0.0001449222,0.0001425371,0.0001806286,0.0001159747,0.0001833349,0.0001441078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406415,"about_ca_system_score_gemma":0.0000696116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002674836,"about_ca_topic_score_gemma":0.0009414931,"domain_scores_codex":[0.9999161,0.000009167264,0.000004279504,0.00002282055,0.00003520998,0.00001248509],"domain_scores_gemma":[0.9998492,0.00004147297,0.0000366766,0.000007041585,0.00004807628,0.0000175576],"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":[0.00004272043,0.000007897604,0.00009303667,0.00004668123,0.000003330084,0.00003703596,0.000008787496,0.0002025272,0.9978734,0.00004883705,0.0000234724,0.001612247],"study_design_scores_gemma":[0.000002905688,0.0001124164,0.001122537,0.000004275152,0.00001302133,0.0001065859,0.0000115459,0.002342855,0.9956692,0.00001820069,0.0005926919,0.000003713438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915674,0.001096756,0.004595977,0.00004069911,0.00002622918,0.000009529968,0.00005248555,0.0000880623,0.002522826],"genre_scores_gemma":[0.9956946,0.0002656069,0.003098945,0.00001080832,0.000004264311,0.000005999179,0.00004197837,0.0000150836,0.0008627325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006611648,"threshold_uncertainty_score":0.002211809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003268440986724413,"score_gpt":0.2175488688303062,"score_spread":0.2142804278435818,"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."}}