{"id":"W4404573469","doi":"10.1063/5.0249996","title":"Fast and automated optical polarization compensation of fiber unitaries","year":2025,"lang":"en","type":"preprint","venue":"Review of Scientific Instruments","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Compensation (psychology); Computer science; Polarization (electrochemistry); Chemistry; Psychology","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":[0.0003510354,0.0001743292,0.0004825521,0.0002015815,0.00004395156,0.0000488258,0.0002625257,0.0001938785,0.00003661138],"category_scores_gemma":[0.0001541866,0.0001659828,0.00005987002,0.0004663419,0.0003992646,0.00008239516,0.0004670861,0.0002270775,0.000006846775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005823973,"about_ca_system_score_gemma":0.00005653013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000397157,"about_ca_topic_score_gemma":0.000001187948,"domain_scores_codex":[0.9987015,0.00002779249,0.0005924536,0.0002469889,0.0002794263,0.000151812],"domain_scores_gemma":[0.9991851,0.00003509399,0.0001441145,0.0004222651,0.0001834781,0.00002999222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007871467,0.0001377828,0.002451707,0.1766481,0.0004172562,0.0000013685,0.0001348363,0.004378509,0.001679651,0.0354416,0.002568827,0.7761325],"study_design_scores_gemma":[0.0006079619,0.0000771719,0.01125398,0.1407397,0.0007000748,0.000007065511,0.00007843083,0.8154012,0.02128656,0.004059965,0.004819706,0.0009681294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812268,0.01056026,0.0002269273,0.0001371175,0.001540575,0.001048166,0.0001912211,0.0007847313,0.00428422],"genre_scores_gemma":[0.9534183,0.01293827,0.03280148,0.0000160903,0.0000115356,0.00002399265,0.0004893239,0.00001858979,0.0002824269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8110227,"threshold_uncertainty_score":0.676858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389082576024491,"score_gpt":0.2539520856465303,"score_spread":0.2400612598862853,"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."}}