{"id":"W7117982317","doi":"10.14569/ijacsa.2025.0161208","title":"Latent-Topology Graph State-Space Model (LT-GSSM) for Robust Traffic Fore-Casting","year":2025,"lang":"en","type":"article","venue":"International Journal of Advanced Computer Science and Applications","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Cégep de l'Outaouais","funders":"","keywords":"Probabilistic logic; Robustness (evolution); Adaptability; Graph; Adjacency matrix; Adjacency list; Uncertain data; Synthetic data; Sensor fusion","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":[0.0006746855,0.001115546,0.001053735,0.0008116745,0.0004811762,0.001047761,0.001701341,0.001237971,0.002382098],"category_scores_gemma":[0.002785237,0.0007257648,0.001294888,0.0008883105,0.0008129521,0.00146927,0.00111899,0.00195645,0.0005644765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366252,"about_ca_system_score_gemma":0.001519153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03117529,"about_ca_topic_score_gemma":0.02794839,"domain_scores_codex":[0.9996176,0.00008251473,0.00002091503,0.0001351385,0.00008237526,0.00006145925],"domain_scores_gemma":[0.9990494,0.0004753963,0.0001475987,0.00008098328,0.000191829,0.00005486317],"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":[0.00001232118,0.00000473884,0.0002647683,0.00001235098,0.000009723793,0.000018792,0.00001062987,0.9923267,0.0001987201,0.003241003,0.0002969858,0.003603175],"study_design_scores_gemma":[0.000001125759,0.000002209251,0.00003729754,0.000001427194,0.00000206258,0.000002309517,0.000001568163,0.9979258,0.00004666107,0.001854298,0.0001233659,0.000001885171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02389923,0.0003235359,0.9715091,0.0003574697,0.00008116851,0.00003095818,0.0005215725,0.0009928963,0.002284041],"genre_scores_gemma":[0.9449273,0.0004580414,0.04907693,0.0001536875,0.00005848828,0.0001412321,0.001323808,0.0001873389,0.003673228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03117529,"threshold_uncertainty_score":0.06198764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135629701400131,"score_gpt":0.263132078506544,"score_spread":0.2517757814925426,"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."}}