{"id":"W3208126219","doi":"10.1016/j.carbpol.2021.118818","title":"Polydopamine-treated hierarchical cellulosic fibers as versatile reinforcement of polybutylene succinate biocomposites for electromagnetic shielding","year":2021,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Beijing Municipality; European Research Council; Canada Foundation for Innovation; National Natural Science Foundation of China; Horizon 2020; China Scholarship Council","keywords":"Polybutylene succinate; Materials science; Composite material; Electromagnetic shielding; Flexural strength; Ultimate tensile strength; Dielectric; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003366079,0.0004077701,0.0006232038,0.0002625098,0.0001841851,0.0001259149,0.0003884766,0.0001764128,0.002931453],"category_scores_gemma":[0.0001390638,0.0004219105,0.0002255799,0.000569077,0.0002373817,0.0001680829,0.0001370458,0.0001298965,0.00008061048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343826,"about_ca_system_score_gemma":0.0002825228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003779949,"about_ca_topic_score_gemma":0.00001318632,"domain_scores_codex":[0.9968634,0.0002269193,0.0008262957,0.0007011979,0.0004356662,0.0009465581],"domain_scores_gemma":[0.9982714,0.00032062,0.0003388224,0.0006075121,0.0002060331,0.0002556322],"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":[0.0002440744,0.00007311323,0.00004907083,0.0001098225,0.00004631244,0.00002932638,0.000226599,0.0001461262,0.9971965,0.001557393,0.0001259506,0.0001957124],"study_design_scores_gemma":[0.001282203,0.001183965,0.0001832647,0.00007222127,0.0001568945,0.00002751323,0.0001061276,0.0005859245,0.9953554,0.0004712265,0.0001531492,0.0004220702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947029,0.001173682,0.0001652515,0.0006192546,0.0004296679,0.0005891008,0.00008603916,0.0001353045,0.002098825],"genre_scores_gemma":[0.9945824,0.00007436246,0.001747177,0.0002683656,0.0001335204,0.0001093942,0.0001900045,0.00006869606,0.002826072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002850842,"threshold_uncertainty_score":0.9998233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009342903572795734,"score_gpt":0.2383099857218497,"score_spread":0.228967082149054,"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."}}