{"id":"W1999090240","doi":"10.1117/12.481510","title":"Novel genetic algorithm for the multiplexed computer-generated hologram with polygonal apertures","year":2002,"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":"Computer science; Holography; Algorithm; Genetic algorithm; Polygonal chain; Division (mathematics); Computer-generated holography; Multiplexing; Optics; Integrated circuit layout; Lithography; Fourier transform; Holographic display; Computer graphics (images); Mathematics; Physics; Geometry; Integrated circuit; 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":[0.000206921,0.0004351342,0.0004242418,0.00009700411,0.0001334594,0.0001411129,0.00120997,0.0002213988,0.000008065911],"category_scores_gemma":[0.0002845471,0.0002950826,0.0004317735,0.0003995657,0.0004930808,0.0003260401,0.0001530714,0.0004270161,0.000001154537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247548,"about_ca_system_score_gemma":0.000009303204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004428124,"about_ca_topic_score_gemma":1.649936e-7,"domain_scores_codex":[0.9979641,1.003044e-8,0.0005619245,0.0004013211,0.0005043258,0.0005683424],"domain_scores_gemma":[0.9981894,0.0003809273,0.0001785812,0.0001004614,0.001051998,0.00009865674],"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":[0.00007369951,0.000289854,0.0001147942,0.0005074504,0.001661376,3.828707e-7,0.0002089867,0.0391424,0.8127367,0.09892016,0.007089637,0.03925454],"study_design_scores_gemma":[0.001231646,0.0002898997,0.0004196179,0.0001208632,0.0001446091,0.00004167289,0.0002262415,0.9442251,0.04995725,0.0003274891,0.002636574,0.0003789995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9436029,0.0005859859,0.05100638,0.002316166,0.0003578809,0.001116521,0.0001225821,0.0006874354,0.0002041812],"genre_scores_gemma":[0.09159216,0.0001665354,0.9070981,0.0001210558,0.0004220475,0.0004120065,0.000007847546,0.0001126922,0.00006759201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9050828,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402071542039803,"score_gpt":0.216988843343934,"score_spread":0.2029681279235359,"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."}}