{"id":"W4399708668","doi":"10.1007/978-3-031-63378-2_72","title":"Towards Large-Language Model Assisted Layout of Silicon Photonic Integrated Circuits","year":2024,"lang":"en","type":"book-chapter","venue":"Springer proceedings in physics","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Photonic integrated circuit; Integrated circuit; Photonics; Electronic circuit; Computer architecture; Optoelectronics; Materials science; Engineering; Electrical engineering","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":[0.0002838238,0.0009324001,0.0006185849,0.000474754,0.0003223846,0.001300187,0.002296943,0.0008155346,0.007377601],"category_scores_gemma":[0.001159805,0.0005772738,0.0007001878,0.0005603467,0.0002801901,0.001189777,0.0008857099,0.0009869213,0.002301615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009581443,"about_ca_system_score_gemma":0.001434025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002889141,"about_ca_topic_score_gemma":0.01162286,"domain_scores_codex":[0.9996966,0.00009527078,0.00001476621,0.00003786604,0.0001189451,0.00003653368],"domain_scores_gemma":[0.9994721,0.0002059411,0.00004596007,0.0001197455,0.0001372052,0.000018959],"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":[0.0001825859,0.0001413004,0.0005299173,0.0003523459,0.0001179494,0.0002357613,0.0001863162,0.593923,0.07623909,0.04443051,0.02273056,0.2609307],"study_design_scores_gemma":[0.00001360948,0.0000356105,0.00006343712,0.000009262236,0.000008453847,0.00004003437,0.00002125755,0.9735783,0.01116907,0.01140593,0.003644026,0.00001101672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01326864,0.0004276212,0.9719064,0.0002857867,0.0001032948,0.00003707788,0.0003287333,0.006807002,0.006835505],"genre_scores_gemma":[0.2156772,0.0003526516,0.7734571,0.0002905027,0.00005170009,0.0001329455,0.001125437,0.001147818,0.007764694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007377601,"threshold_uncertainty_score":0.0246805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264459011603455,"score_gpt":0.2514030549258663,"score_spread":0.2287584648098318,"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."}}