{"id":"W4412071530","doi":"10.1364/ofc.2025.m3a.6","title":"Operations Science and Automation in Optical Networks: From Machine Learning to Generative AI","year":2025,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Automation; Generative grammar; Computer science; Artificial intelligence; Machine learning; Engineering; Mechanical engineering","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":[0.001275524,0.0004726381,0.0005181918,0.0009521546,0.0004777582,0.002161105,0.000641912,0.000847156,0.004360322],"category_scores_gemma":[0.004774742,0.0002868721,0.0006807678,0.001129491,0.003425351,0.003283781,0.000934377,0.002087741,0.0004365507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618131,"about_ca_system_score_gemma":0.001403609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003637958,"about_ca_topic_score_gemma":0.003024651,"domain_scores_codex":[0.9993974,0.000304039,0.00002638019,0.00007977241,0.0001422022,0.00005024202],"domain_scores_gemma":[0.9970701,0.002281599,0.0001744563,0.0002437766,0.0001553315,0.00007469816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003232571,0.00004056246,0.0009512134,0.0001307896,0.0000438671,0.00007602097,0.0001455793,0.08455727,0.0006103324,0.8523534,0.00268603,0.0583727],"study_design_scores_gemma":[0.000004585233,0.00001119451,0.0003303539,0.00003756287,0.000004587722,0.00002621176,0.00003532486,0.1360357,0.0003150776,0.8599934,0.003197503,0.000008444552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03763949,0.007478584,0.8889691,0.01320737,0.0003771186,0.00004046597,0.0001913013,0.0002187619,0.05187781],"genre_scores_gemma":[0.8951151,0.007989832,0.08405665,0.0006110916,0.0009089144,0.00008174479,0.0001622613,0.0001002289,0.01097416],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004360322,"threshold_uncertainty_score":0.01458675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005382394670413692,"score_gpt":0.2361838664516765,"score_spread":0.2308014717812628,"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."}}