{"id":"W4389508907","doi":"10.1002/apxr.202300128","title":"Reconfigurable and Phase‐Engineered Acoustic Metasurfaces for Broadband Wavefront Manipulation","year":2023,"lang":"en","type":"article","venue":"Advanced Physics Research","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Wavefront; Broadband; Acoustics; Robustness (evolution); Attenuation; Ranging; Computer science; Phase response; Phase (matter); Materials science; Optics; Physics; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0008230728,0.0001873548,0.0002591038,0.0002278733,0.0002372289,0.00009395589,0.0002107168,0.00006843547,0.00002932776],"category_scores_gemma":[0.0002141,0.0001944505,0.00004499664,0.0008853016,0.0000983689,0.000323524,0.00005619609,0.0003690021,0.0001211282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506832,"about_ca_system_score_gemma":0.00003912585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008452573,"about_ca_topic_score_gemma":0.000004876823,"domain_scores_codex":[0.9979649,0.00005023847,0.0002259316,0.00034985,0.0005260779,0.00088296],"domain_scores_gemma":[0.9982997,0.0008933659,0.00001832285,0.0003354223,0.0002810803,0.0001721405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005186331,0.00002899436,0.000006538467,0.0003517588,0.00007111788,0.000003837962,0.0001832393,0.5710464,0.38031,0.0006477125,0.002223387,0.04507518],"study_design_scores_gemma":[0.001412277,0.0001345475,0.0001192998,0.00003649254,0.00001390767,0.000001109698,0.0002727362,0.9475105,0.02990629,0.01819688,0.002166445,0.0002295619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7252113,0.00160981,0.2635965,0.0002053328,0.0004137413,0.00270977,0.0003095499,0.0009891269,0.004954932],"genre_scores_gemma":[0.9940936,0.0005307504,0.003114316,0.000003741287,0.0001279317,0.0003765252,0.0001579077,0.0001011427,0.001494081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3764641,"threshold_uncertainty_score":0.792946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034004664708822,"score_gpt":0.3790855790812154,"score_spread":0.2756851126103332,"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."}}