{"id":"W4417273525","doi":"","title":"Optimization and machine learning for the inverse design of photonic integrated devices","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Inverse; Inverse problem; Photonics; Key (lock); Noise (video)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002463116,0.0000935104,0.0001191242,0.00007784881,0.0003897907,0.0001854881,0.0007074057,0.00004261473,0.000004931619],"category_scores_gemma":[0.0005186577,0.00006860305,0.00004384143,0.0005426217,0.00008819109,0.0001394785,0.0003672431,0.0001434532,4.067371e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001603933,"about_ca_system_score_gemma":0.00007350317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002186488,"about_ca_topic_score_gemma":0.0002865847,"domain_scores_codex":[0.9979811,0.001329291,0.0002086169,0.0002407378,0.00009888621,0.0001414182],"domain_scores_gemma":[0.9960862,0.002627171,0.000165777,0.0004546891,0.0006332736,0.00003290708],"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":[0.00002744421,0.0001961634,0.003043914,0.0001496942,0.0001150203,0.000001135482,0.004084833,0.6947086,0.003991779,0.09652507,0.0008142011,0.1963421],"study_design_scores_gemma":[0.0002418701,5.869664e-7,0.0001794432,0.0002467259,0.000009951781,0.000001400246,0.00003427901,0.9853892,0.0104828,0.0004257897,0.002924602,0.00006340259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003347055,0.001176622,0.9891574,0.005326731,0.00007043127,0.0002762596,8.732906e-7,0.00007166901,0.000572949],"genre_scores_gemma":[0.6418007,0.0004758446,0.3559124,0.0001378602,0.000004287759,0.00002053236,0.00001270282,0.000007686476,0.001627923],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6384537,"threshold_uncertainty_score":0.2997994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717225377156454,"score_gpt":0.2228492739190219,"score_spread":0.2056770201474574,"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."}}