{"id":"W4409574790","doi":"10.61091/jcmcc127a-064","title":"Attention mechanism-driven freeway traffic flow prediction model under the fusion of ETC gantry and multivariate monitoring data","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Mechanism (biology); Computer science; Fusion; Traffic flow (computer networking); Flow (mathematics); Data mining; Environmental science; Machine learning; Mechanics; Computer network; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009954287,0.0001946745,0.0003936344,0.0001920681,0.0002073054,0.0001038552,0.0003860064,0.0001409091,5.771658e-7],"category_scores_gemma":[0.00008653542,0.0001583108,0.00006830604,0.0002042727,0.0000510925,0.0002484214,0.0003271649,0.0003646425,1.201125e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005297929,"about_ca_system_score_gemma":0.00003772015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003848847,"about_ca_topic_score_gemma":3.962734e-7,"domain_scores_codex":[0.9984768,0.00005406311,0.000781236,0.000159987,0.0003575845,0.000170331],"domain_scores_gemma":[0.9988853,0.0002446599,0.0003335762,0.0003054082,0.0001700816,0.00006094339],"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":[0.0001319384,0.0006458227,0.0001316425,0.001329046,0.0007751306,0.000006610739,0.001722698,0.1255059,0.02106268,0.8239185,0.00236899,0.02240109],"study_design_scores_gemma":[0.001729899,0.0001070585,0.0002242989,0.0005955046,0.000184502,0.000008847564,0.0004370201,0.9306093,0.0006374298,0.06530631,0.00004912331,0.0001107199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6036641,0.0002693007,0.3854529,0.00008731694,0.009785737,0.0002906742,0.000009885043,0.0002670909,0.000172981],"genre_scores_gemma":[0.9917735,0.0002727755,0.007554062,0.000005335434,0.0003645549,0.000001885472,0.000003474667,0.00002143793,0.000002956088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8051034,"threshold_uncertainty_score":0.6455725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739046382852138,"score_gpt":0.2500266714264943,"score_spread":0.2326362075979729,"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."}}