{"id":"W2613527077","doi":"10.1364/cleo_at.2017.ath3b.2","title":"Broadside Beam Routing by Dielectric Micro-Prism","year":2017,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Broadside; Prism; Optics; Dielectric; Materials science; Beam steering; Routing (electronic design automation); Beam (structure); Optoelectronics; Refractive index; Physics; Electronic engineering; Engineering","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":[0.00009371153,0.0002281252,0.0002449334,0.00004320837,0.0003280149,0.0003121246,0.0002955284,0.0001378615,0.00002215569],"category_scores_gemma":[0.00005115598,0.0002144276,0.00004583988,0.00005023016,0.00009358391,0.0001518551,0.00004205088,0.0003659061,0.00003686707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003902901,"about_ca_system_score_gemma":0.00003337506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002849069,"about_ca_topic_score_gemma":0.000009987968,"domain_scores_codex":[0.9988884,0.00000873366,0.0001804345,0.0002494986,0.0001268092,0.0005461163],"domain_scores_gemma":[0.9993373,0.0000553258,0.00005772082,0.0003495322,0.00003023632,0.0001699509],"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":[0.0001227182,0.0001924383,0.001766334,0.0002222103,0.0003733307,0.00007521968,0.0004670313,0.0002589709,0.7889632,0.1003704,0.01062577,0.09656237],"study_design_scores_gemma":[0.00122975,0.0005769745,0.002302186,0.0001662613,0.0001125038,0.00002102216,0.00009367669,0.5045679,0.4764907,0.004679798,0.008627649,0.001131595],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010599,0.0006993241,0.001391491,0.0004426902,0.0001839326,0.000146233,0.00001008077,0.0001776651,0.09588868],"genre_scores_gemma":[0.9966187,0.00214813,0.0002975559,0.000186356,0.00005973677,0.000008899651,0.00001127942,0.00002827485,0.000641039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5043089,"threshold_uncertainty_score":0.8744105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211516269908576,"score_gpt":0.2274051147794879,"score_spread":0.2152899520804021,"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."}}