{"id":"W2944414731","doi":"10.23919/cleo.2019.8750301","title":"Dispersion-engineered metasurfaces for aberration-corrected spectroscopy","year":2019,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Optics; Dispersion (optics); Diffraction; Materials science; Spectrometer; Spectroscopy; Spherical aberration; Resolution (logic); Refractive index; Beam (structure); Physics","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":[0.0002364084,0.0005468743,0.0003094465,0.0003301401,0.0001710417,0.0004385566,0.0006095306,0.0005025558,0.0005787638],"category_scores_gemma":[0.0003998453,0.000239116,0.0002374998,0.0003108834,0.0004444596,0.0005981218,0.0006017387,0.000566863,0.0003429951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005144123,"about_ca_system_score_gemma":0.0001888891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002408396,"about_ca_topic_score_gemma":0.000539368,"domain_scores_codex":[0.999627,0.0000361774,0.00001467757,0.00005455456,0.0002355426,0.00003194944],"domain_scores_gemma":[0.999606,0.00008128442,0.0001428296,0.00006372772,0.00007304621,0.00003315417],"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":[0.00002581002,0.000009778326,0.0001302605,0.00002551445,0.000005177835,0.00003883372,0.00002123963,0.0003087516,0.9942677,0.001074574,0.00008379744,0.004008473],"study_design_scores_gemma":[0.000009976048,0.00009560413,0.0003700067,0.000003808856,0.000006340213,0.0002251382,0.00001577586,0.009319017,0.986096,0.0003717265,0.003472266,0.00001431132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7869549,0.003574572,0.2019581,0.0005266906,0.0003214533,0.00006398714,0.0002372084,0.001266371,0.005096727],"genre_scores_gemma":[0.8010864,0.0008509943,0.1949996,0.00007083761,0.00005582934,0.00003302251,0.0001252605,0.0001075141,0.002670365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006095306,"threshold_uncertainty_score":0.003732383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899862032865135,"score_gpt":0.2548486295205084,"score_spread":0.2358500091918571,"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."}}