{"id":"W4391087448","doi":"10.23919/ofc49934.2023.10117109","title":"Automatic setting of multiple FSO orthogonal communication channels between photonic chips","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Air Force Office of Scientific Research","keywords":"Photonics; Crosstalk; Computer science; Multiplexing; Photonic integrated circuit; Optical performance monitoring; Channel (broadcasting); Free-space optical communication; Optical communication; Electronic engineering; Wavelength-division multiplexing; Optical cross-connect; Optical add-drop multiplexer; Computer hardware; Optoelectronics; Telecommunications; Physics; Optical fiber; Engineering","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":[0.0008196372,0.0007001958,0.0005226979,0.0009437343,0.0006697837,0.001200921,0.0008976001,0.000400707,0.004027848],"category_scores_gemma":[0.002228099,0.0005760248,0.0001878422,0.0004169322,0.0008786107,0.001184772,0.001712991,0.0008811228,0.001149416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004848142,"about_ca_system_score_gemma":0.0007471652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002508379,"about_ca_topic_score_gemma":0.0006226526,"domain_scores_codex":[0.9987082,0.000208184,0.00006277082,0.0002939719,0.0004427623,0.0002841104],"domain_scores_gemma":[0.9980378,0.0007932444,0.0003319325,0.0004028041,0.0002581218,0.0001761417],"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":[0.0009462872,0.0003288903,0.004979496,0.0001698084,0.00004233962,0.0003545227,0.0003872614,0.004052168,0.793756,0.02564769,0.00356994,0.1657656],"study_design_scores_gemma":[0.00008098267,0.000234374,0.002267851,0.00002331087,0.00002266283,0.0003098772,0.00008879273,0.03606062,0.9432291,0.004722709,0.01289125,0.00006844137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5440196,0.0005315126,0.423593,0.0002707193,0.0004331469,0.0004039491,0.0003424735,0.009271031,0.02113458],"genre_scores_gemma":[0.9227998,0.0001176837,0.07075705,0.0001256695,0.0000725011,0.0002542591,0.0001809832,0.0003624502,0.005329688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004027848,"threshold_uncertainty_score":0.01347446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039667850733157,"score_gpt":0.2375678898032166,"score_spread":0.217171211295885,"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."}}