{"id":"W4405907754","doi":"10.1109/wf-iot62078.2024.10811363","title":"Temporal Dual-Attention Graph Network for Popularity Prediction in MEC Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Popularity; Dual (grammatical number); Graph; Dual graph; Theoretical computer science; Line graph; Psychology","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":[0.0003877089,0.0005651563,0.0005682256,0.000942181,0.0003404414,0.000543131,0.001320819,0.0007296483,0.001305591],"category_scores_gemma":[0.003225494,0.0003089584,0.0004168297,0.0008837571,0.00046512,0.001461053,0.0007105112,0.0008275913,0.0002380612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315724,"about_ca_system_score_gemma":0.0006068037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01792173,"about_ca_topic_score_gemma":0.02362442,"domain_scores_codex":[0.9998021,0.00004181266,0.00000818669,0.00006986081,0.00003823263,0.00003982509],"domain_scores_gemma":[0.9991472,0.0004727659,0.00009193502,0.00006166941,0.0001814554,0.0000450606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002239353,0.00008534308,0.006942693,0.0001151833,0.00007093121,0.0001640541,0.0001190176,0.8443832,0.004659649,0.01473353,0.004416684,0.1240858],"study_design_scores_gemma":[0.000001443696,0.00000652238,0.0002603547,0.000002272696,0.000005104227,0.00001112721,0.000005224402,0.9959801,0.0002143673,0.003351188,0.0001600663,0.000002160486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.148227,0.001424245,0.8433872,0.001018202,0.0001243065,0.00006417662,0.0007251363,0.001345022,0.003684707],"genre_scores_gemma":[0.9581841,0.0004868555,0.03775899,0.0002184116,0.00006887456,0.00005236593,0.0006620883,0.00005591895,0.002512341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01792173,"threshold_uncertainty_score":0.03563488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207989656921536,"score_gpt":0.2692198069030138,"score_spread":0.2571399103337985,"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."}}