{"id":"W2053161339","doi":"10.1109/lpt.2005.849981","title":"Biased multicanonical sampling","year":2005,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Optical Network Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Polarization mode dispersion; Birefringence; Polarization (electrochemistry); Optics; Dispersion (optics); Mode (computer interface); Sampling (signal processing); Computer science; Materials science; Algorithm; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001191075,0.0002791624,0.0003054212,0.000399124,0.00007666014,0.00002856342,0.0006458915,0.000511265,0.00002878816],"category_scores_gemma":[0.00008788727,0.0002960926,0.00008734198,0.0006427908,0.000420743,0.0001015969,0.00008269565,0.0009241198,0.0003098607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002199794,"about_ca_system_score_gemma":0.0000133656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001267566,"about_ca_topic_score_gemma":0.000008832373,"domain_scores_codex":[0.9983715,0.000007857176,0.0003800928,0.0003473205,0.0001535652,0.0007396679],"domain_scores_gemma":[0.9990401,0.0001220085,0.00003504297,0.0007124798,0.00002291079,0.00006742582],"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":[0.00001180844,0.00007784597,0.0007083167,0.00003303373,0.0001490862,0.00005158993,0.00003326394,0.168871,0.7733733,0.006800852,0.006036564,0.04385333],"study_design_scores_gemma":[0.0009122734,0.00005973663,0.0001538886,0.00005189703,0.00005061374,0.00008128984,0.00004722068,0.434008,0.485944,0.0009794326,0.07679275,0.0009188456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677477,0.0003406654,0.01327918,0.009909874,0.0004183387,0.0002264137,0.000006458452,0.007631279,0.0004401049],"genre_scores_gemma":[0.8683327,0.0001093749,0.1304697,0.0008838037,0.00006088297,0.00006903343,0.000002122378,0.00006544386,0.000006844214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2874293,"threshold_uncertainty_score":0.9999491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356726488390305,"score_gpt":0.2331339857288495,"score_spread":0.2195667208449465,"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."}}