{"id":"W7132149254","doi":"","title":"Pre-fabrication performance verification of a topologically optimized mode demultiplexer using deep neural networks","year":2022,"lang":"en","type":"article","venue":"NPARC","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Mode (computer interface); Miniaturization; Photonics; Inverse; Topology (electrical circuits); Deep learning; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002725292,0.0001078607,0.0001664217,0.0000586867,0.0003793153,0.00004377219,0.0008108062,0.00003783071,0.00004008784],"category_scores_gemma":[0.0000203749,0.00009704789,0.00006926959,0.0004723491,0.00004031832,0.0002333511,0.0005652829,0.0002332921,4.523492e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005563949,"about_ca_system_score_gemma":0.00002014975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001394366,"about_ca_topic_score_gemma":5.009163e-7,"domain_scores_codex":[0.9986665,0.000167134,0.0003057496,0.0003183065,0.0002768415,0.000265502],"domain_scores_gemma":[0.9991279,0.0000855561,0.0002269901,0.0004184194,0.00008905308,0.00005214424],"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":[0.00003798326,0.00004293647,0.0007240623,0.000006072063,0.000005476846,0.000001287439,0.0001474013,0.9566057,0.004276741,0.0009026105,0.00003074721,0.03721895],"study_design_scores_gemma":[0.0002652059,0.00009234569,0.002457183,0.000004681853,0.000004858603,0.00001465479,0.00001118869,0.9963644,0.0003337103,0.0002952056,0.00004366165,0.0001129011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3863379,0.00007196953,0.6127834,0.0001682826,0.0002525709,0.0001462385,4.019226e-7,0.00006147056,0.0001777764],"genre_scores_gemma":[0.8899354,0.0000129155,0.1097967,0.0001156907,0.00008197266,0.00002371616,0.000004550181,0.000007057593,0.00002204187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5035975,"threshold_uncertainty_score":0.3957498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234378604835296,"score_gpt":0.2543999833161925,"score_spread":0.2320561972678395,"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."}}