{"id":"W2510451804","doi":"10.1109/pn.2016.7537965","title":"An analytical study of process variations in silicon photonic integrated circuits","year":2016,"lang":"en","type":"article","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University; Polytechnique Montréal","funders":"","keywords":"Photonic integrated circuit; Photonics; Silicon photonics; Electronic circuit; Process (computing); Silicon; Computer science; Integrated circuit; Electronic engineering; Optoelectronics; Materials science; Electrical engineering; 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":[0.0005621044,0.0005303217,0.0003966111,0.0003720513,0.0004706808,0.0005571051,0.001094544,0.0006298525,0.0009468879],"category_scores_gemma":[0.003580969,0.0004211245,0.0004816173,0.0005428916,0.0008780563,0.001025862,0.0004467674,0.0008979201,0.0001718599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051512,"about_ca_system_score_gemma":0.001195012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004355743,"about_ca_topic_score_gemma":0.004056075,"domain_scores_codex":[0.9995388,0.0001014954,0.000008134669,0.00004306282,0.0002396845,0.00006883703],"domain_scores_gemma":[0.9989944,0.0006920362,0.0001124742,0.00008617652,0.00009317051,0.00002177463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001651058,0.00002932404,0.0002539415,0.00003488333,0.00001626876,0.000123424,0.00003398753,0.9622967,0.00936201,0.02129339,0.0003179956,0.006221536],"study_design_scores_gemma":[0.000001984702,0.000005503286,0.00005864252,0.000001443355,0.000002205043,0.000009743107,0.00000263126,0.9974717,0.0007685175,0.001475247,0.0001999893,0.000002394099],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2137309,0.001885695,0.7579073,0.0008833643,0.0001545839,0.0001187437,0.0001454707,0.0006414751,0.02453252],"genre_scores_gemma":[0.9567692,0.0006007827,0.0384892,0.0001270869,0.00006327537,0.00006623636,0.00003976034,0.0001340785,0.003710311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004355743,"threshold_uncertainty_score":0.008660734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164873743607107,"score_gpt":0.2728465778929416,"score_spread":0.2563592035322309,"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."}}