{"id":"W4290716248","doi":"10.1364/cleo_si.2022.sth4n.4","title":"Photonic Blind Source Separation for Multimode Optical Fiber Interconnects","year":2022,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Multi-mode optical fiber; Blind signal separation; Computer science; Photonics; Crosstalk; Modal; Electronic engineering; Optical fiber; Digital signal processing; Modal dispersion; Materials science; Optoelectronics; Dispersion-shifted fiber; Telecommunications; Computer hardware; Fiber optic sensor; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001070573,0.0001842788,0.0002000193,0.0000832047,0.0001573486,0.00007200461,0.000165937,0.0001037477,0.00009019257],"category_scores_gemma":[0.00004645221,0.0001905307,0.00004903738,0.0001298619,0.00007047824,0.0000664496,0.0000714503,0.0004018274,0.00001485233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008537425,"about_ca_system_score_gemma":0.00002785665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001316744,"about_ca_topic_score_gemma":0.000005933091,"domain_scores_codex":[0.9990195,0.00001418222,0.0001747845,0.0002470928,0.0001282448,0.0004161826],"domain_scores_gemma":[0.9995033,0.0001591479,0.00002437963,0.0001988412,0.00003899353,0.00007533046],"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":[0.00114228,0.0003946232,0.00006445518,0.0002770257,0.0003582643,0.00002552727,0.0007938083,0.3798867,0.06189026,0.3848749,0.01081775,0.1594745],"study_design_scores_gemma":[0.000721023,0.0007889431,0.000007472246,0.00001349987,0.00002951115,0.000007699397,0.0001999511,0.973803,0.01585264,0.002900787,0.00540944,0.0002659914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771187,0.0001319693,0.01659836,0.0006096214,0.0001572375,0.0004798007,0.00001943729,0.0005161011,0.004368735],"genre_scores_gemma":[0.9923505,0.0001244777,0.006730435,0.0001056192,0.00004104685,0.0001729656,0.0000312651,0.00003437466,0.0004093791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5939164,"threshold_uncertainty_score":0.7769618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103009617256787,"score_gpt":0.2567749837875826,"score_spread":0.2357448876150147,"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."}}