{"id":"W3184965113","doi":"10.1364/ofc.2021.m3h.4","title":"Jointly Shaped Dual Polarization Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of British Columbia","funders":"","keywords":"Probabilistic logic; Polarization (electrochemistry); Computer science; Dual (grammatical number); Algorithm; Dual-polarization interferometry; Theoretical computer science; Telecommunications; Artificial intelligence","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":[0.00002616718,0.0000561792,0.00007576701,0.00002316544,0.00001518438,0.00004292433,0.00003819663,0.00007972673,0.00009436366],"category_scores_gemma":[0.00004082033,0.00005329494,0.00001588513,0.000181051,0.0000104891,0.00005826959,0.000030562,0.00007922629,0.0001319186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002108426,"about_ca_system_score_gemma":0.000004984297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000276209,"about_ca_topic_score_gemma":0.000004006875,"domain_scores_codex":[0.99963,0.000005391486,0.0000976982,0.00007539657,0.00006635014,0.0001251566],"domain_scores_gemma":[0.9997928,0.00002131895,0.00000433731,0.0001333059,0.00002736341,0.00002091492],"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":[0.000002232333,0.00004266858,0.002820078,0.0002145048,0.0001270301,0.0001442958,0.00004951938,0.07467376,0.1275548,0.7719888,0.01304359,0.009338701],"study_design_scores_gemma":[0.0001327405,0.00001333986,0.001478943,0.0000248073,0.000009720959,0.00003081288,0.0002022949,0.983035,0.007550882,0.0005626783,0.006766303,0.0001924558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6226671,0.002966502,0.2019546,0.000809948,0.002170902,0.0002571531,0.000008139588,0.01088021,0.1582855],"genre_scores_gemma":[0.9921356,0.00002877256,0.006518418,0.00001997584,0.00005683566,0.000004273023,0.000008485923,0.00001483837,0.001212774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9083613,"threshold_uncertainty_score":0.2173304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00976431578497482,"score_gpt":0.1887304896379068,"score_spread":0.178966173852932,"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."}}