{"id":"W4309677204","doi":"10.1364/ol.479472","title":"Multi-task photonic time-delay reservoir computing based on polarization modulation","year":2022,"lang":"en","type":"article","venue":"Optics Letters","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Polarization controller; Photonics; Polarization (electrochemistry); Optics; Signal processing; Polarizer; Modulation (music); Electronic engineering; Physics; Radar; Telecommunications; Acoustics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003236046,0.0002654962,0.0003190302,0.0001086404,0.00032377,0.0005467643,0.0009502464,0.0004415319,0.001475016],"category_scores_gemma":[0.0007335774,0.0001395939,0.0001486439,0.0001911889,0.0004453752,0.001059594,0.0006692038,0.0005613209,0.000176454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003927443,"about_ca_system_score_gemma":0.0005986081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019918,"about_ca_topic_score_gemma":0.001098896,"domain_scores_codex":[0.9998205,0.0000309499,0.000007961671,0.00003712812,0.0000533763,0.00005004919],"domain_scores_gemma":[0.9996529,0.0001402559,0.00004843746,0.0000557009,0.00005606441,0.0000468237],"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":[0.0008796557,0.0005091029,0.002044827,0.0003258256,0.00007753907,0.0005659505,0.0002379966,0.1826886,0.6860672,0.03737506,0.002396088,0.08683218],"study_design_scores_gemma":[0.0000255726,0.0001421373,0.0001991037,0.00000380883,0.000007856619,0.00004150317,0.00001335451,0.9190503,0.07733019,0.002518221,0.0006523695,0.00001554337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7533856,0.0004040277,0.2350773,0.0006027805,0.0001294852,0.0001107946,0.00009505482,0.001100338,0.009094612],"genre_scores_gemma":[0.967721,0.00006032479,0.03116795,0.00005554366,0.000008569955,0.00004712527,0.00003028532,0.00001642735,0.0008928871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001475016,"threshold_uncertainty_score":0.004934371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374631115932863,"score_gpt":0.2281189012137596,"score_spread":0.214372590054431,"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."}}