{"id":"W3211421821","doi":"10.1109/ipc48725.2021.9593043","title":"In-resonator Electro-absorption Modulator for Photonic Computing","year":2021,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Resonator; Photonics; Crosstalk; Optoelectronics; Voltage; Wavelength; Electro-absorption modulator; Absorption (acoustics); Materials science; Transmission (telecommunications); Optics; Modulation (music); Computer science; Electronic engineering; Physics; Telecommunications; Electrical engineering; Engineering; Acoustics; Semiconductor laser theory","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":[0.0001190666,0.0002340626,0.0001927813,0.00008846146,0.0001740192,0.000285623,0.0004609507,0.00026495,0.00110964],"category_scores_gemma":[0.0001978876,0.0001146313,0.00008932523,0.0001251128,0.0002269447,0.0004420021,0.0002081276,0.0003324971,0.0002474784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002041827,"about_ca_system_score_gemma":0.0001367511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008203487,"about_ca_topic_score_gemma":0.0002166467,"domain_scores_codex":[0.9999243,0.00001582107,0.00000388587,0.00001666381,0.00002802858,0.00001129988],"domain_scores_gemma":[0.9999202,0.00002786073,0.00002299761,0.000007286671,0.00001458909,0.000007075158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007319662,0.00004304354,0.0001391685,0.00009463742,0.000008649426,0.00005449054,0.00004050251,0.0006667938,0.9743347,0.009623736,0.000381886,0.01453916],"study_design_scores_gemma":[0.00003685822,0.0003825501,0.0005384633,0.00002033089,0.000031278,0.0003030434,0.00002342947,0.06542765,0.9098641,0.002201602,0.0211514,0.00001940821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5786764,0.007397442,0.3816257,0.001337466,0.0008686905,0.0001279544,0.0001182339,0.0007786306,0.02906957],"genre_scores_gemma":[0.9175036,0.001355188,0.07497374,0.0002127808,0.0001419484,0.00005540733,0.0000273614,0.00002966598,0.005700199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00110964,"threshold_uncertainty_score":0.003712058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368960605688668,"score_gpt":0.2590894543472686,"score_spread":0.2453998482903819,"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."}}