{"id":"W4402188490","doi":"10.3390/photonics11090826","title":"Quantum-Dash Semiconductor Optical Amplifier for Millimeter-Wave over Fibre Wireless Fronthaul Systems","year":2024,"lang":"en","type":"article","venue":"Photonics","topic":"Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Optiwave Systems (Canada); Queen's University; Concordia University","funders":"","keywords":"Dash; Optical amplifier; Extremely high frequency; Optoelectronics; Wireless; Semiconductor; Amplifier; Physics; Quantum; Telecommunications; Optics; Computer science; Quantum mechanics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001470557,0.0002916903,0.0003672244,0.00009776857,0.00004716538,0.0002137272,0.0002399648,0.0003548639,0.00006297926],"category_scores_gemma":[0.00005234914,0.0002671497,0.0001588923,0.0002188861,0.0000862617,0.0001562682,0.0000709359,0.0004061357,0.0001021815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854301,"about_ca_system_score_gemma":0.00002946654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007570379,"about_ca_topic_score_gemma":0.000005067622,"domain_scores_codex":[0.9985033,0.000009743659,0.0003351906,0.000379377,0.0001924444,0.0005799417],"domain_scores_gemma":[0.9989988,0.0003856853,0.0000170506,0.0004534662,0.00003872471,0.0001062598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001336627,0.0002146543,0.0001765909,0.008677548,0.002168567,0.0004458125,0.0008828136,0.05400374,0.2552952,0.4350845,0.2062757,0.03664123],"study_design_scores_gemma":[0.0001760038,0.00006941622,0.0000123189,0.000211436,0.00006014002,0.00002535603,0.00009221838,0.9132014,0.01169105,0.001378656,0.07271804,0.0003639781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955725,0.0113228,0.02202642,0.0001055824,0.004135718,0.0009046906,0.000247258,0.00337175,0.002160784],"genre_scores_gemma":[0.9914969,0.0003787082,0.007219893,0.00002889405,0.000194111,0.0002089151,0.00003481939,0.0001391772,0.000298558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8591977,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533778340747366,"score_gpt":0.2413468056409909,"score_spread":0.2160090222335173,"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."}}