{"id":"W4226500143","doi":"10.22215/etd/2022-14939","title":"Array Design for High-Resolution Beam Steering in Optical Phased Arrays Applications","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Phased-array optics; Beam steering; Phased array; Grating; Optics; Planar array; Planar; Phased array ultrasonics; Rotation (mathematics); SIGNAL (programming language); Beam (structure); Computer science; Physics; Telecommunications; Artificial intelligence; Antenna (radio)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002224458,0.0004266353,0.000302672,0.0002302879,0.0002187366,0.0007097465,0.000302445,0.0003722303,0.004447928],"category_scores_gemma":[0.0003566737,0.0003058845,0.0002711859,0.0004075224,0.0001754987,0.0005243164,0.000270467,0.0003760108,0.002412428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003292814,"about_ca_system_score_gemma":0.0003284831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001875947,"about_ca_topic_score_gemma":0.0003096593,"domain_scores_codex":[0.9997872,0.00003725332,0.00001146002,0.00003933932,0.0001040515,0.00002075947],"domain_scores_gemma":[0.9997769,0.00005213543,0.00003802575,0.00002561481,0.00009454562,0.00001288436],"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":[0.00008849552,0.00004832345,0.0003517919,0.000361697,0.00002615713,0.0001017478,0.0001418821,0.03158318,0.7887472,0.01876945,0.003433435,0.1563467],"study_design_scores_gemma":[0.00004789661,0.0005616728,0.001249107,0.00008242858,0.00007012764,0.000811064,0.0001439488,0.2421386,0.588335,0.009799061,0.1566879,0.00007315377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02748403,0.00142749,0.9483728,0.0002340403,0.0001237905,0.000105038,0.0001252349,0.0006246779,0.02150287],"genre_scores_gemma":[0.1875157,0.002086464,0.7906222,0.0001711281,0.00008117465,0.0002561139,0.0001835729,0.0002145926,0.01886902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004447928,"threshold_uncertainty_score":0.01487982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538997070956667,"score_gpt":0.2556419482599914,"score_spread":0.2402519775504247,"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."}}