{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008185343,0.0006597407,0.0006371721,0.0004157101,0.0005483718,0.001273977,0.000965697,0.001035909,0.004306993],"category_scores_gemma":[0.003021701,0.000508204,0.0005035633,0.0006917979,0.000898773,0.001300514,0.003026078,0.001341713,0.001565734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005533068,"about_ca_system_score_gemma":0.0008543407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003730787,"about_ca_topic_score_gemma":0.0005157578,"domain_scores_codex":[0.9986196,0.0003288115,0.00003814912,0.0002802038,0.0005437633,0.0001895482],"domain_scores_gemma":[0.9985159,0.0004543662,0.0001732373,0.0004223079,0.0003158512,0.0001184838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00112787,0.0001417287,0.002089172,0.0001224507,0.0001150107,0.000319817,0.0002669752,0.458653,0.09196936,0.1255884,0.003453797,0.3161524],"study_design_scores_gemma":[0.00003643052,0.00009972898,0.0002197039,0.00001329038,0.00001976881,0.0002460912,0.00002405021,0.947327,0.02177104,0.02582177,0.004385511,0.00003557615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02698388,0.0001198201,0.965331,0.0001960793,0.0000633924,0.00003675472,0.00006735329,0.0003168499,0.006884921],"genre_scores_gemma":[0.670095,0.0002430883,0.3144199,0.0002910254,0.0001075406,0.0001270649,0.0001870662,0.0000979508,0.01443132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004306993,"threshold_uncertainty_score":0.01440835,"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."}}