{"id":"W4411482809","doi":"10.1364/optica.560985","title":"Inverse-designed metasurfaces for multifunctional spatial frequency filtering","year":2025,"lang":"en","type":"article","venue":"Optica","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada","keywords":"Inverse; Spatial filter; Spatial frequency; Computer science; Acoustics; Optics; Physics; Mathematics; Artificial intelligence; Geometry","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":[0.00007070303,0.0001259068,0.0001595166,0.00007979354,0.00007202608,0.00001924627,0.0001231255,0.00007337467,0.00003695581],"category_scores_gemma":[0.0001428656,0.0001204155,0.00006374215,0.0001204541,0.00004815146,0.0001029117,0.00002403185,0.00008387845,0.00002062687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004017721,"about_ca_system_score_gemma":0.00001533434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006961622,"about_ca_topic_score_gemma":0.00001630878,"domain_scores_codex":[0.9994238,0.000004866159,0.0001476539,0.0001494351,0.00006170801,0.0002125138],"domain_scores_gemma":[0.9996622,0.0000945544,0.00001536702,0.0001645391,0.00003916717,0.00002418018],"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":[0.00002223369,0.00002158645,0.0001817689,0.0001438227,0.0001679535,0.000003142044,0.00003707885,0.03969948,0.930323,0.01060929,0.001573398,0.01721723],"study_design_scores_gemma":[0.002162771,0.000175279,0.001478935,0.0001964871,0.0002386458,0.000004598402,0.000553169,0.3667966,0.5346058,0.02655263,0.06629468,0.0009404308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0765876,0.000621712,0.9149064,0.0001996803,0.0009251467,0.000297626,0.0000310269,0.001175825,0.00525501],"genre_scores_gemma":[0.6532227,0.00007142682,0.3459568,0.00003447937,0.00001790364,0.00008751905,0.000009385445,0.00001927997,0.0005805452],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5766351,"threshold_uncertainty_score":0.49104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537903434498718,"score_gpt":0.2434050916499127,"score_spread":0.2280260573049255,"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."}}