{"id":"W4206473652","doi":"10.1109/jlt.2022.3141394","title":"An Analytical Method for Evaluating the Robustness of Photonic Integrated Circuits","year":2022,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Resonator; Electronic circuit; Photonic integrated circuit; Photonics; Standard deviation; Electronic engineering; Computer science; Topology (electrical circuits); Mathematics; Physics; Optics; Engineering; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001793015,0.0009759928,0.0006698741,0.002108231,0.0004514862,0.0009102638,0.001551326,0.001172806,0.00123291],"category_scores_gemma":[0.01024415,0.0004319888,0.0006760944,0.0008944849,0.001341284,0.001601656,0.0009718104,0.001069134,0.0003405675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170095,"about_ca_system_score_gemma":0.0009292478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009159484,"about_ca_topic_score_gemma":0.0004492503,"domain_scores_codex":[0.9985298,0.000319524,0.00006645059,0.0001580845,0.0008320124,0.00009412084],"domain_scores_gemma":[0.996812,0.001790048,0.0004133365,0.0004245803,0.0004979845,0.0000619687],"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":[0.00006313646,0.0000701239,0.0006496998,0.0001275708,0.00007670517,0.0001606826,0.00006859584,0.8191298,0.05344994,0.07970928,0.0007946856,0.04569972],"study_design_scores_gemma":[0.000002831783,0.00001924685,0.00007821723,0.000006584262,0.000005309588,0.00003235952,0.000003518985,0.9882421,0.003714346,0.007482427,0.0004022134,0.00001081476],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007987979,0.0002089971,0.9892808,0.00008726067,0.00002857133,0.00003243934,0.0000453696,0.0004000748,0.001928526],"genre_scores_gemma":[0.6377497,0.0005278779,0.3584534,0.0001791559,0.0001180576,0.0002763656,0.00014903,0.0002659509,0.002280457],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002108231,"threshold_uncertainty_score":0.009482443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05077251684833168,"score_gpt":0.3647641043357966,"score_spread":0.313991587487465,"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."}}