{"id":"W4323038274","doi":"10.1364/optica.480014","title":"High-performance, intelligent, on-chip speckle spectrometer using 2D silicon photonic disordered microring lattice","year":2023,"lang":"en","type":"article","venue":"Optica","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; British Columbia Knowledge Development Fund; Canada First Research Excellence Fund; Canada Foundation for Innovation","keywords":"Spectrometer; Photonics; Speckle pattern; Materials science; Chip; Bandwidth (computing); Silicon; Lattice (music); Optoelectronics; Imaging spectrometer; Computer science; Silicon photonics; Optics; Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002553417,0.0002158333,0.0002905196,0.0001840739,0.0001848912,0.0002493692,0.0004485813,0.0003190603,0.0004110108],"category_scores_gemma":[0.0002442428,0.0001895592,0.000149258,0.0001615763,0.0002939538,0.0004243677,0.0003042757,0.0001724349,0.00009948364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004360926,"about_ca_system_score_gemma":0.0003296366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007237666,"about_ca_topic_score_gemma":0.001381738,"domain_scores_codex":[0.9998382,0.00002660985,0.000006152904,0.00004039318,0.00006960292,0.00001898498],"domain_scores_gemma":[0.9998739,0.00005243414,0.0000167774,0.00002141356,0.00002060239,0.00001486362],"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":[0.0001443532,0.000123559,0.001942121,0.00006165426,0.00002362094,0.0001264123,0.00006483823,0.01259429,0.9683433,0.00265812,0.000424979,0.01349256],"study_design_scores_gemma":[0.0001565797,0.0004869011,0.002478787,0.000007015141,0.00001832843,0.0002415184,0.00004037036,0.4390768,0.5531409,0.0008987516,0.003389795,0.00006416509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.873961,0.0002509801,0.1210338,0.0001861204,0.00006451907,0.00005596091,0.0001967249,0.0008870446,0.003363828],"genre_scores_gemma":[0.8916288,0.00007319893,0.1074883,0.00004164355,0.00001379139,0.00003263768,0.00008164382,0.00001433199,0.000625727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007237666,"threshold_uncertainty_score":0.003164113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051065556346936,"score_gpt":0.2392415803276193,"score_spread":0.21873092476415,"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."}}