{"id":"W2163527906","doi":"10.1109/ccece.1996.548280","title":"Integration of GCAC and SPF for connection management in ATM networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Asynchronous Transfer Mode; Computer network; Computation; Private Network-to-Network Interface; Path (computing); Distributed computing; Routing (electronic design automation); Routing protocol; Algorithm; Static routing","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":[0.001190373,0.0005439988,0.0005036113,0.001282172,0.0006665838,0.00119647,0.001344564,0.0009525206,0.001616433],"category_scores_gemma":[0.002671822,0.000269014,0.0003538907,0.0009715734,0.0007441605,0.001674294,0.0006114193,0.00128296,0.000505658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006743598,"about_ca_system_score_gemma":0.001399759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003673594,"about_ca_topic_score_gemma":0.004028931,"domain_scores_codex":[0.998584,0.0002791244,0.0000809976,0.0001470731,0.0007370515,0.0001717107],"domain_scores_gemma":[0.9982943,0.0004591947,0.000150757,0.0004064179,0.0006049144,0.00008438931],"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":[0.0005781011,0.000296481,0.00361285,0.0002952497,0.00009734063,0.0005137583,0.0001936137,0.06772597,0.04707883,0.0516442,0.005345875,0.8226177],"study_design_scores_gemma":[0.0001027257,0.0009481847,0.004533748,0.00007708691,0.0001453107,0.001515504,0.0001162711,0.8716112,0.04992213,0.03362658,0.03729185,0.0001094714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1195587,0.003187802,0.85567,0.000486919,0.0003641544,0.0003640224,0.0001262712,0.006232491,0.01400964],"genre_scores_gemma":[0.7266006,0.0008759692,0.268452,0.0001835951,0.0002201775,0.0001304661,0.0002495104,0.0001513059,0.003136248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003673594,"threshold_uncertainty_score":0.00730443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293933967638874,"score_gpt":0.2285182907759975,"score_spread":0.2055789510996088,"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."}}