{"id":"W4322503713","doi":"10.1038/s41467-023-36814-4","title":"Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Optical Network Technologies","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Division of Electrical, Communications and Cyber Systems; Office of Naval Research; Fonds de recherche du Québec – Nature et technologies; Defense Advanced Research Projects Agency; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; CMC Microsystems; U.S. Department of Defense; Directorate for Engineering; Advanced Research Projects Agency; National Science Foundation","keywords":"Computer science; Multiplexing; Blind signal separation; Bandwidth (computing); Broadband; Photonics; Scalability; Electronic engineering; Physical layer; Cognitive radio; Digital signal processor; Digital signal processing; Computer hardware; Telecommunications; Channel (broadcasting); Optoelectronics; Wireless; Physics; 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":[0.0002293254,0.0003289839,0.0001752603,0.0002560411,0.0002550655,0.0005376618,0.0006449533,0.0004439718,0.001130261],"category_scores_gemma":[0.0003727244,0.0001310525,0.0001924685,0.0002563063,0.0003924598,0.0004325513,0.0003859769,0.0004662786,0.0003525972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003781131,"about_ca_system_score_gemma":0.0004428103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004042284,"about_ca_topic_score_gemma":0.001115643,"domain_scores_codex":[0.9997929,0.00002955658,0.000006936013,0.00004488199,0.00009609219,0.00002970136],"domain_scores_gemma":[0.9998738,0.00003777193,0.00002552878,0.00001872895,0.00003143435,0.00001275646],"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":[0.0003267013,0.0003273722,0.0008135345,0.0001397921,0.0000602955,0.0002791654,0.000106062,0.01493264,0.8245869,0.02449578,0.002396398,0.1315353],"study_design_scores_gemma":[0.00008064094,0.0008007481,0.001326337,0.00003250926,0.00008790602,0.0006248901,0.0000354729,0.4716289,0.4993683,0.007377967,0.01856852,0.0000677683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1664635,0.0009278714,0.8168573,0.0005764959,0.0002985176,0.0000862083,0.00007268743,0.001453053,0.01326445],"genre_scores_gemma":[0.795277,0.0002622258,0.2000203,0.0003891609,0.00007553969,0.00005575054,0.00004067443,0.00002820683,0.003851134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001130261,"threshold_uncertainty_score":0.00378108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02627980986940352,"score_gpt":0.3219503147210256,"score_spread":0.2956705048516221,"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."}}