{"id":"W4411203487","doi":"10.1109/jlt.2025.3579317","title":"Scalability of Silicon Photonic WDM Receivers for Low-Power Optical I/O","year":2025,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genia Photonics (Canada)","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Wavelength-division multiplexing; Silicon photonics; Photonics; Scalability; Silicon; Optoelectronics; Optical communication; Polarization mode dispersion; Photonic integrated circuit; Power (physics); Integrated optics; Electronic engineering; Materials science; Computer science; Optical fiber; Optics; Telecommunications; Physics; Engineering; Wavelength","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000283855,0.0001309425,0.0004682283,0.0003848437,0.00002497735,0.000007386166,0.0003363974,0.0003225958,0.0000615841],"category_scores_gemma":[0.0003060518,0.0001089779,0.0001799649,0.0003902244,0.0002154526,0.00008350352,0.00004519073,0.0003715158,0.000004546306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001223091,"about_ca_system_score_gemma":0.00007894551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.469796e-7,"about_ca_topic_score_gemma":0.000003210494,"domain_scores_codex":[0.9989061,0.000009792626,0.0006011162,0.0001192381,0.0001153974,0.0002482928],"domain_scores_gemma":[0.999151,0.0002178835,0.0001163925,0.000239494,0.0002189852,0.00005622694],"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":[0.0006491157,0.0007338485,0.004317774,0.001433208,0.001305351,0.00006747319,0.0002157935,0.001398935,0.7473816,0.2150363,0.004155931,0.02330461],"study_design_scores_gemma":[0.001321263,0.0005394776,0.002103239,0.0002781595,0.0001209763,0.00004454509,0.0001937628,0.004801335,0.9539099,0.02074756,0.01575164,0.0001881884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830586,0.0009956473,0.003291358,0.001037968,0.0005789498,0.0001890863,0.000006716063,0.0000944073,0.01074729],"genre_scores_gemma":[0.9958511,0.0001408952,0.003876991,0.00004145095,0.00001656842,0.000006392379,3.806559e-7,0.0000113919,0.00005481527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2065282,"threshold_uncertainty_score":0.444399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004525280147940394,"score_gpt":0.2329195494247972,"score_spread":0.2283942692768568,"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."}}