{"id":"W2138928444","doi":"10.1109/leos.2009.5343375","title":"Analysis of the composite superprism demultiplexer","year":2009,"lang":"en","type":"article","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Footprint; Materials science; Diffraction; Composite number; Wavelength; Slab; Dispersion (optics); Compensation (psychology); Optics; Optoelectronics; Physics; Engineering; Geology; Composite material; Structural 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001865156,0.0002958919,0.0003413678,0.0002643971,0.0002043332,0.0004285447,0.0004293734,0.000446632,0.002469997],"category_scores_gemma":[0.0003679979,0.0001621161,0.0002873457,0.0002126776,0.0003828273,0.0003839616,0.0002170644,0.0003108724,0.0003883055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006729513,"about_ca_system_score_gemma":0.0004915989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006060075,"about_ca_topic_score_gemma":0.0008271167,"domain_scores_codex":[0.9997571,0.00002101669,0.000003855647,0.00003214487,0.0001579003,0.00002794628],"domain_scores_gemma":[0.9998059,0.00006426919,0.00003634341,0.00002385026,0.00005740202,0.00001222632],"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":[0.0003399081,0.00007041728,0.0006630854,0.0001750297,0.00005242578,0.0004199556,0.00005652589,0.276893,0.6319706,0.06723341,0.0006877534,0.02143784],"study_design_scores_gemma":[0.00001166859,0.0001004742,0.0004514089,0.000003965326,0.00001305214,0.0001209249,0.000007903263,0.9008102,0.09356674,0.003671492,0.001229858,0.00001228695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3778456,0.0003530124,0.6030937,0.0002286265,0.00004374914,0.00005444736,0.0001145444,0.0003775732,0.01788884],"genre_scores_gemma":[0.9264729,0.000173115,0.06689601,0.00004410646,0.00001885556,0.00003469941,0.00004985273,0.00003459454,0.006275866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002469997,"threshold_uncertainty_score":0.008262932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005649171691043991,"score_gpt":0.2042856292401474,"score_spread":0.1986364575491034,"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."}}