{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002436349,0.0001199878,0.0001717154,0.00006560986,0.000121525,0.0001529361,0.0004198672,0.00005863363,0.00001394074],"category_scores_gemma":[0.00002776914,0.0001083857,0.00009720652,0.0005228147,0.00001007572,0.0002673475,0.0002820025,0.0001448975,0.000009982771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005526959,"about_ca_system_score_gemma":0.00008641046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001263373,"about_ca_topic_score_gemma":0.00001964136,"domain_scores_codex":[0.9986332,0.00004812521,0.0002524774,0.0004566371,0.0001612543,0.0004483246],"domain_scores_gemma":[0.9992811,0.0001667812,0.0000587377,0.0003221559,0.0001007127,0.00007050488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003460156,0.0005171872,0.002544055,0.0001959432,0.00007874177,0.0003089298,0.0005658797,0.08542074,0.192649,0.5550902,0.01441057,0.1481841],"study_design_scores_gemma":[0.0004146226,0.00003691153,0.0005686465,0.0000232609,0.00000132328,0.00002832721,0.000007106296,0.9539655,0.03419063,0.004771522,0.005839115,0.0001530497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3550793,0.0004061929,0.641289,0.001877525,0.000581593,0.0001929341,3.069466e-7,0.0001291659,0.0004439358],"genre_scores_gemma":[0.9245959,0.00001193262,0.07342535,0.001163201,0.0002024789,0.000006888263,0.000002108237,0.00001031177,0.000581862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8685448,"threshold_uncertainty_score":0.441984,"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."}}