{"id":"W4388646847","doi":"10.1007/s42114-023-00774-6","title":"Recent advances in non-biomass and biomass-based electromagnetic shielding materials","year":2023,"lang":"en","type":"article","venue":"Advanced Composites and Hybrid Materials","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"EMI; Electromagnetic shielding; Electromagnetic interference; Computer science; Engineering; Telecommunications; Electrical engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00100468,0.0004989813,0.000870418,0.0004237951,0.0002431839,0.0005289061,0.000306383,0.0001053654,0.0009405128],"category_scores_gemma":[0.0000983594,0.0004802152,0.00003393675,0.0004368594,0.0002226676,0.0005931726,0.0002323239,0.0000727778,0.0001455091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006578919,"about_ca_system_score_gemma":0.00004149708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005631835,"about_ca_topic_score_gemma":0.00002216991,"domain_scores_codex":[0.9965069,0.0002857093,0.0009486154,0.0009349182,0.0003230289,0.001000818],"domain_scores_gemma":[0.998683,0.0002948379,0.000333586,0.0004193622,0.00008673988,0.000182507],"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":[0.0003209186,0.00004332971,0.0001265998,0.0002736355,0.000005958521,0.00006808493,0.00004088608,0.00002183962,0.9967272,0.000238954,0.00005393849,0.002078631],"study_design_scores_gemma":[0.001544609,0.0006347762,0.006973589,0.0001964887,0.00002740456,0.00006399127,0.00002094548,0.00005997823,0.9851291,0.002934034,0.001854549,0.0005605921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938962,0.00317318,0.00005243242,0.000567422,0.0008814333,0.0007976781,0.000213611,0.0003290876,0.00008893931],"genre_scores_gemma":[0.989928,0.006141853,0.003058098,0.000193512,0.0001388848,0.0002236948,0.0001685955,0.00007385726,0.00007352381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01159818,"threshold_uncertainty_score":0.9999728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00816609345804991,"score_gpt":0.2508726612673844,"score_spread":0.2427065678093345,"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."}}