{"id":"W3082744199","doi":"10.1364/cleo_si.2020.sth4o.5","title":"Silicon Photonic WDM-Polarization Receiver with Automated Feedback Control","year":2020,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wavelength-division multiplexing; Polarization (electrochemistry); Photonics; Silicon photonics; Wavelength; Computer science; Optical performance monitoring; Optics; Silicon; Optoelectronics; Physics; Materials science; Chemistry","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":[0.0005716286,0.0004076314,0.0003594831,0.0003268306,0.0004131168,0.000645045,0.001158795,0.0006417787,0.001741388],"category_scores_gemma":[0.000628288,0.0003718933,0.0001706334,0.0003282787,0.0003853141,0.0006236198,0.0005068553,0.0007065224,0.0007048841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007031122,"about_ca_system_score_gemma":0.001162986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001334417,"about_ca_topic_score_gemma":0.003212127,"domain_scores_codex":[0.9992552,0.00006100802,0.00002916151,0.0001268554,0.0004483277,0.00007933911],"domain_scores_gemma":[0.9996113,0.0001014097,0.00008915144,0.00004948896,0.0001223889,0.00002624902],"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":[0.0003435347,0.0003445331,0.001602519,0.00009701878,0.00004373847,0.0001630689,0.00007564512,0.014597,0.9245477,0.006626732,0.002148783,0.04940968],"study_design_scores_gemma":[0.0001728211,0.0003445901,0.001382941,0.00001380796,0.00002736365,0.0002746584,0.000009377559,0.4136842,0.5788502,0.0007138392,0.004477494,0.0000489395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4086561,0.0003813442,0.5681962,0.0007404917,0.0002478521,0.0002252515,0.0004013247,0.004820162,0.01633123],"genre_scores_gemma":[0.7840101,0.0001103365,0.2098495,0.0001764204,0.0000863937,0.0001145409,0.0001790356,0.00006669434,0.005407135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001741388,"threshold_uncertainty_score":0.00582552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101267025390756,"score_gpt":0.1941483747748704,"score_spread":0.1840216722357948,"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."}}