{"id":"W4318766604","doi":"10.1364/opticaopen.21937505.v1","title":"High-performance, intelligent, on-chip speckle spectrometer using two-dimensional silicon photonic disordered microring lattice","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of British Columbia","funders":"","keywords":"Spectrometer; Photonics; Speckle pattern; Chip; Materials science; Bandwidth (computing); Silicon; Lattice (music); Optoelectronics; Transfer matrix; Imaging spectrometer; Computer science; Optics; Physics; Telecommunications","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":[0.0002345387,0.000223625,0.0003026388,0.0001774403,0.0001888678,0.0002728322,0.0004776223,0.000326725,0.0003894555],"category_scores_gemma":[0.000255633,0.0001748255,0.0001440386,0.0001679881,0.0003263539,0.0004396212,0.0003373898,0.0001658948,0.0001014549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861233,"about_ca_system_score_gemma":0.0002758095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006116008,"about_ca_topic_score_gemma":0.001000233,"domain_scores_codex":[0.9998388,0.00002851193,0.000005579769,0.00004066771,0.00006874904,0.00001760752],"domain_scores_gemma":[0.9998659,0.00005818587,0.00001648933,0.00002534642,0.00001913785,0.00001487864],"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":[0.0001740574,0.000157292,0.002305066,0.00006638194,0.00003303421,0.0001427969,0.00007018269,0.0165977,0.959196,0.003746814,0.0005589753,0.01695179],"study_design_scores_gemma":[0.0001545658,0.0003591323,0.002058638,0.000005765128,0.00001737231,0.0001994144,0.00003080013,0.5140482,0.4790927,0.001163604,0.002825172,0.00004459908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8578697,0.0002645304,0.1365056,0.0002030904,0.00006172412,0.00004932019,0.0001769746,0.001095958,0.003772965],"genre_scores_gemma":[0.8946882,0.00007462456,0.104389,0.00004137041,0.00001295243,0.00002631354,0.00009436478,0.00001737599,0.0006558594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006116008,"threshold_uncertainty_score":0.002801478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03296828681777841,"score_gpt":0.2596714676326301,"score_spread":0.2267031808148517,"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."}}