{"id":"W2039550594","doi":"10.1117/12.451133","title":"<title>Novel polygonal-aperture encoding for designing diffractive optical elements</title>","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Multiplexing; Optics; Computer science; Computer-generated holography; Pixel; Aperture (computer memory); Fourier transform; Holography; Physics; Algorithm; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002309417,0.000282812,0.0003085567,0.0001009842,0.00006451142,0.00007321745,0.0006087329,0.0002060365,0.00005444083],"category_scores_gemma":[0.0008455903,0.0002501859,0.0003430629,0.0002371068,0.0001621375,0.0003428885,0.0001185236,0.0003247868,0.00001538967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980684,"about_ca_system_score_gemma":0.00001662954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.14146e-7,"about_ca_topic_score_gemma":3.100739e-8,"domain_scores_codex":[0.998476,9.728399e-9,0.0004297392,0.0002850807,0.0003838477,0.0004252677],"domain_scores_gemma":[0.9989779,0.0002384645,0.0001203087,0.00006299371,0.0005142873,0.00008605784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002308011,0.00004553007,0.00002800026,0.0001513256,0.0002239063,1.589394e-7,0.00003265885,0.0002777247,0.547083,0.444353,0.006420673,0.001360953],"study_design_scores_gemma":[0.002341788,0.0004167896,0.0002838357,0.0007975812,0.000400388,0.00006331449,0.0008074577,0.4372963,0.2574772,0.0180578,0.2805347,0.001522826],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8681742,0.0005881964,0.02226371,0.002527158,0.000729425,0.001077368,0.0001115881,0.000987206,0.1035412],"genre_scores_gemma":[0.2590239,0.0003205743,0.738369,0.0001354253,0.0005902589,0.0002471365,0.00001742465,0.0001663918,0.001129907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7161053,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428579738587978,"score_gpt":0.2404577900854061,"score_spread":0.2261719926995263,"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."}}