{"id":"W4403115209","doi":"10.1117/12.3028152","title":"Harnessing nonlinear broadening dynamics in single-mode fibers for neuromorphic computing","year":2024,"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":"Genia Photonics (Canada); University of Waterloo; Institut National de la Recherche Scientifique","funders":"","keywords":"Neuromorphic engineering; Nonlinear system; Computer science; Mode (computer interface); Dynamics (music); Electronic engineering; Materials science; Physics; Artificial neural network; Acoustics; Engineering; Artificial intelligence; Human–computer interaction","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":[0.0003239028,0.000199222,0.0002224452,0.0002160652,0.0001972345,0.000916802,0.0006861713,0.00007840535,0.000002019846],"category_scores_gemma":[0.00003484666,0.0001754123,0.000121395,0.0008166007,0.00003361444,0.0004643387,0.0004388601,0.0003347436,0.000006561298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000148611,"about_ca_system_score_gemma":0.00006272136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005929163,"about_ca_topic_score_gemma":0.00009295735,"domain_scores_codex":[0.9981613,0.00005479088,0.0003885607,0.0006381824,0.000203062,0.0005540898],"domain_scores_gemma":[0.9989648,0.0005582739,0.00005763425,0.0002898707,0.00004397435,0.00008538847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001502946,0.0001317053,0.001093953,0.0004505453,0.00003773351,0.0005329803,0.0009393526,0.3653093,0.00260931,0.06027518,0.00102167,0.5675832],"study_design_scores_gemma":[0.000186378,0.00005657301,0.0000602187,0.0003596368,0.000003547296,0.0000646481,0.00003517397,0.9967861,0.0002442621,0.00106605,0.0009108955,0.0002265556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1087905,0.0002952672,0.8854077,0.00242221,0.00145057,0.0002170262,0.000001587044,0.0005400016,0.0008751649],"genre_scores_gemma":[0.8200687,0.000003711398,0.1790405,0.0002917012,0.0003157679,0.000002935265,0.000007449979,0.00002810429,0.000241167],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7112782,"threshold_uncertainty_score":0.8840743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03175531923962457,"score_gpt":0.2787345399691656,"score_spread":0.2469792207295411,"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."}}