{"id":"W4309321375","doi":"10.1364/optica.470483","title":"Phase retrieval of programmable photonic integrated circuits based on an on-chip fractional-delay reference path","year":2022,"lang":"en","type":"article","venue":"Optica","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"RMIT University; Australian Research Council; Ontario Ministry of Natural Resources and Forestry; Australian National Fabrication Facility","keywords":"Chip; Computer science; Photonics; Electronic engineering; Impulse response; Signal processing; Impulse (physics); Computer hardware; Digital signal processing; Telecommunications; Mathematics; Engineering; Physics; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004810835,0.0001588027,0.0001929864,0.0001169147,0.0003558471,0.0001004824,0.0008600435,0.00004526417,0.0001221716],"category_scores_gemma":[0.00004954991,0.0001337865,0.00007103838,0.0008299356,0.00004019775,0.0001528877,0.0001814853,0.0005742284,0.00001109381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008696557,"about_ca_system_score_gemma":0.000209903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002153063,"about_ca_topic_score_gemma":0.000001161206,"domain_scores_codex":[0.9980673,0.0002023662,0.0002686061,0.0005000492,0.0006206012,0.0003411307],"domain_scores_gemma":[0.9987223,0.0002237346,0.0001622381,0.0006425173,0.0001157572,0.000133428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001414748,0.01277755,0.0002287831,0.00008686398,0.0001008265,0.0006269238,0.0005194974,0.7060398,0.02646341,0.05953642,0.002210984,0.1899941],"study_design_scores_gemma":[0.001021513,0.003827556,0.00006032211,0.00004105725,0.00000510063,0.0000137261,0.00002128382,0.9859208,0.002500121,0.0003099974,0.006102702,0.0001758219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9321907,0.00005122554,0.05659361,0.0008789513,0.0008092082,0.0006544936,0.00003391238,0.000328172,0.008459741],"genre_scores_gemma":[0.9934387,0.000002795163,0.005927792,0.0003662162,0.00004345644,0.00001943831,0.00003199513,0.0000133264,0.0001562487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2798809,"threshold_uncertainty_score":0.5455657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199556363459059,"score_gpt":0.2839095515497496,"score_spread":0.251913987915159,"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."}}