{"id":"W4408722144","doi":"10.1117/12.3040918","title":"Mitigation of distortions in fiber-optic communication systems using optical neural network-based equalizer","year":2025,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Equalizer; Computer science; Optical fiber; Artificial neural network; Optical communication; Electronic engineering; Telecommunications; Artificial intelligence; Engineering; Channel (broadcasting)","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":[0.0001409609,0.0002505386,0.0001486619,0.000102788,0.0001659622,0.0002109197,0.0003425778,0.0002665673,0.0006125561],"category_scores_gemma":[0.0002392761,0.00007682008,0.0001382402,0.00008491462,0.0001802991,0.0003161966,0.0001795764,0.0002198825,0.00006633341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003594166,"about_ca_system_score_gemma":0.0003121625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00244111,"about_ca_topic_score_gemma":0.004976845,"domain_scores_codex":[0.999931,0.00001348994,0.00000303122,0.00001038122,0.00002754894,0.00001466203],"domain_scores_gemma":[0.9999342,0.00002031981,0.00001241301,0.000004031506,0.00002579584,0.00000332732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003544948,0.0001461173,0.001642521,0.0001548008,0.00007634552,0.0001949025,0.00007167779,0.7036031,0.150672,0.007510744,0.0008003022,0.134773],"study_design_scores_gemma":[0.000006419054,0.0001021876,0.0003675814,0.000006470792,0.00001391333,0.00003044898,0.000008747571,0.9712039,0.02726705,0.0004535576,0.000533041,0.000006568808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4758618,0.0008838776,0.5097333,0.000258239,0.0001558369,0.00005018592,0.00003428651,0.0004656216,0.0125569],"genre_scores_gemma":[0.9760242,0.0001272713,0.02109162,0.00003953932,0.000009331703,0.00001262895,0.00001392893,0.000006434053,0.002675018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00244111,"threshold_uncertainty_score":0.004853785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621390103433864,"score_gpt":0.2568630618903358,"score_spread":0.2406491608559971,"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."}}