{"id":"W4411276711","doi":"10.1016/j.iot.2025.101668","title":"A rendezvous of computing and communication services at the optical layer in optical computing–communication integrated network","year":2025,"lang":"en","type":"article","venue":"Internet of Things","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Rendezvous; Computer science; Layer (electronics); Optical communication; Telecommunications network; Computer network; Distributed computing; Optoelectronics; Physics; Materials science; Astronomy","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":[0.0005616925,0.0001418318,0.0002985503,0.00008556551,0.0000400108,0.00003399873,0.0007438584,0.0001705444,0.000006160684],"category_scores_gemma":[0.00009416327,0.0001143154,0.00004179023,0.000355549,0.0003408219,0.00009201606,0.001053397,0.0005131078,0.000001775554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008152448,"about_ca_system_score_gemma":0.000007117558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002229276,"about_ca_topic_score_gemma":0.0001540388,"domain_scores_codex":[0.9989406,0.00007295963,0.0005261276,0.000140871,0.000113684,0.0002057441],"domain_scores_gemma":[0.9984336,0.0008248981,0.00009448126,0.0005567411,0.00007003932,0.00002017145],"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":[0.0003473852,0.0003592948,0.05953453,0.001787523,0.0007456929,0.000008605763,0.01749608,0.2741531,0.005421472,0.4400579,0.005398153,0.1946903],"study_design_scores_gemma":[0.0003052762,0.00003806449,0.0114221,0.001568767,0.00002984905,0.000005853939,0.0006398427,0.9779924,0.004213824,0.003287885,0.0003682287,0.0001278868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852315,0.002173103,0.005784135,0.000756157,0.00007256411,0.0001682614,6.952961e-7,0.0002060089,0.005607532],"genre_scores_gemma":[0.9633608,0.0001610572,0.0363257,0.00008378373,0.000006150773,0.000002948659,0.000009549958,0.00001342571,0.00003658939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7038394,"threshold_uncertainty_score":0.4661646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007445964843787707,"score_gpt":0.2410796041512511,"score_spread":0.2336336393074634,"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."}}