{"id":"W4399389762","doi":"10.1016/j.compositesb.2024.111614","title":"Chiral-assisted geometric phase metasurfaces: Manipulating orbital angular momentum for efficient and stable microwave attenuation","year":2024,"lang":"en","type":"article","venue":"Composites Part B Engineering","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; Canadian Academy of Geriatric Psychiatry; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Metamaterial; Physics; Optics; Microwave; Attenuation; Polarization (electrochemistry); Angular momentum; Electromagnetic radiation; Plane wave; Vortex; Classical mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006425569,0.0002119175,0.0003024439,0.0001939658,0.000175262,0.0004140353,0.0001217908,0.00005002311,0.00006537196],"category_scores_gemma":[0.00005471164,0.0001970224,0.00007007452,0.0004220413,0.00002157608,0.0001574185,0.00007068572,0.00006038285,0.00003826249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005367228,"about_ca_system_score_gemma":0.0000156435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009922284,"about_ca_topic_score_gemma":5.46426e-7,"domain_scores_codex":[0.9986168,0.00002399897,0.0004109374,0.0004206412,0.000178448,0.0003492208],"domain_scores_gemma":[0.9993623,0.0001769446,0.00007680762,0.0002215473,0.00005820797,0.0001041201],"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":[0.000008789646,0.00004948052,0.00001333654,0.0002932839,0.00003515315,0.000002898713,0.00006971578,0.03786921,0.9603556,0.0007258537,0.0001379672,0.0004387323],"study_design_scores_gemma":[0.0003629892,0.0000547632,0.0001263474,0.00009425557,0.0001149858,0.0000168833,0.00001443339,0.3083173,0.6840044,0.00002234069,0.006657155,0.00021417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8484316,0.00537947,0.1445596,0.00004495878,0.0006601156,0.0005329339,0.0001434014,0.0002172432,0.00003069712],"genre_scores_gemma":[0.9511303,0.00002160375,0.04829083,0.000007615307,0.00009196459,0.000164617,0.0001360743,0.00004223191,0.0001147992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2763512,"threshold_uncertainty_score":0.803434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126455975655141,"score_gpt":0.2725695273897962,"score_spread":0.2413049676332448,"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."}}