{"id":"W4300816823","doi":"10.1117/12.2633150","title":"Wavelength tunable resonant phase-change synaptic weights for photonic neuromorphic computing","year":2022,"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":"University of Alberta","funders":"","keywords":"Photonics; Resonator; Metamaterial; Computer science; Waveguide; Multiplexing; Optoelectronics; Crossbar switch; Neuromorphic engineering; Materials science; Optics; Electronic engineering; Physics; Artificial neural network; Engineering; Telecommunications; Artificial intelligence","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":[0.00007944617,0.0001158771,0.00008415382,0.0001019313,0.0001071174,0.0002769967,0.000265719,0.0001786211,0.001269139],"category_scores_gemma":[0.000220079,0.00007418878,0.00006200738,0.0001160371,0.0002402204,0.0004311638,0.0002269449,0.0002740005,0.0002792556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000152517,"about_ca_system_score_gemma":0.0001268341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007181156,"about_ca_topic_score_gemma":0.0002621941,"domain_scores_codex":[0.9999683,0.000004808102,0.000001906032,0.000005012545,0.00001481169,0.000005178174],"domain_scores_gemma":[0.9999307,0.00002399137,0.00001595388,0.00001262278,0.00001107702,0.000005558001],"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":[0.00006001816,0.00003324597,0.0002230668,0.00007763157,0.000009733491,0.0000576454,0.00002199391,0.004292234,0.9604386,0.01530139,0.0004154037,0.01906897],"study_design_scores_gemma":[0.0000196139,0.0001689901,0.0005435758,0.00001023304,0.0000138107,0.0001520285,0.00004183923,0.08943984,0.8972874,0.007162105,0.005147187,0.00001342155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8790981,0.0008820064,0.1049859,0.0005827027,0.0001510847,0.00004275666,0.0001150914,0.0006960875,0.01344625],"genre_scores_gemma":[0.9788245,0.0002009814,0.01927215,0.0000513758,0.00001023513,0.00001789572,0.00001884283,0.00002574714,0.001578246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001269139,"threshold_uncertainty_score":0.004245698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06492055322476054,"score_gpt":0.2722262303675513,"score_spread":0.2073056771427908,"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."}}