{"id":"W3197611656","doi":"10.1364/optica.435435","title":"Autonomous on-chip interferometry for reconfigurable optical waveform generation","year":2021,"lang":"en","type":"article","venue":"Optica","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Research Grants Council, University Grants Committee; H2020 European Research Council; Canada Research Chairs; Agence Nationale de la Recherche; Conseil Régional Aquitaine; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Reconfigurability; Waveform; Computer science; Electronic engineering; Interferometry; Chip; Key (lock); Coherence (philosophical gambling strategy); Particle swarm optimization; Engineering; Telecommunications; Optics; Algorithm; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005154971,0.0001263791,0.0001614992,0.00004419613,0.00009850799,0.00006194285,0.0001158126,0.00006118161,0.0004649415],"category_scores_gemma":[0.00004236279,0.000119224,0.00008382095,0.0000883595,0.00004045429,0.0001029857,0.00003492279,0.0001560135,0.0001264742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004562187,"about_ca_system_score_gemma":0.00005232401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000168805,"about_ca_topic_score_gemma":0.000001566309,"domain_scores_codex":[0.999217,0.000006420233,0.0001726758,0.0002837429,0.00006721667,0.0002529736],"domain_scores_gemma":[0.9994228,0.00008739478,0.00004047846,0.000325234,0.00007537528,0.00004865822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003400521,0.0002884035,0.0002088351,0.00001842719,0.0001191231,0.000006823475,0.00007941608,0.0005531247,0.05759204,0.7279572,0.002904496,0.2102381],"study_design_scores_gemma":[0.0004944993,0.0001957197,0.00008336684,0.00002027376,0.00002422311,0.000002921536,0.000268758,0.004357097,0.9548611,0.0216988,0.01774625,0.0002470074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4515586,0.00005478237,0.2573051,0.00293908,0.0007959038,0.0005003904,0.0001168134,0.0003116241,0.2864176],"genre_scores_gemma":[0.9411942,0.000001679768,0.05394976,0.00008683191,0.00024274,0.00009629106,0.0001138915,0.00002208584,0.004292474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8972691,"threshold_uncertainty_score":0.5090784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263816538016832,"score_gpt":0.2694861363877823,"score_spread":0.2431044825860992,"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."}}