{"id":"W3208552176","doi":"10.1145/3484871","title":"Towards All-optical Stochastic Computing Using Photonic Crystal Nanocavities","year":2021,"lang":"en","type":"article","venue":"ACM Journal on Emerging Technologies in Computing Systems","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Optical switch; Electronic engineering; Photonics; Computer hardware; Engineering; Optoelectronics; Materials science","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":[0.0001605809,0.000145201,0.0001990174,0.0001301688,0.0002160689,0.0006347558,0.0004425293,0.0003889207,0.0006049772],"category_scores_gemma":[0.000368214,0.0001722865,0.0002038048,0.0001727069,0.000638493,0.0005727335,0.0003771012,0.0005018684,0.0001277028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005726831,"about_ca_system_score_gemma":0.0005698047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001310593,"about_ca_topic_score_gemma":0.001496831,"domain_scores_codex":[0.9999242,0.00001297895,0.00000221618,0.00001198611,0.00003523886,0.00001331325],"domain_scores_gemma":[0.999882,0.00005058285,0.00001760608,0.00001844315,0.0000196327,0.00001162081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001275318,0.0001435273,0.001003735,0.0002750322,0.00003488645,0.0001829881,0.00016022,0.2696882,0.4063827,0.2912873,0.001248429,0.02946534],"study_design_scores_gemma":[0.00000966963,0.00006100778,0.0001777926,0.000009175054,0.000006792005,0.00004918574,0.00001881068,0.9356389,0.04402663,0.01731592,0.002673158,0.00001298099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4773355,0.001440051,0.5035577,0.00135052,0.00009199973,0.00006118284,0.00009183406,0.0006581069,0.01541308],"genre_scores_gemma":[0.9202578,0.0006984735,0.07738572,0.00008361424,0.00001381849,0.00003383592,0.00002448876,0.00002897142,0.001473211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001310593,"threshold_uncertainty_score":0.004155099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04009382010863893,"score_gpt":0.302259308720932,"score_spread":0.2621654886122931,"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."}}