{"id":"W4409795706","doi":"10.61091/jcmcc127b-461","title":"Short-term highway traffic speed prediction based on spatio-temporal analysis and attention mechanism","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":"Term (time); Mechanism (biology); Computer science; Transport engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000345774,0.0006110715,0.0004688049,0.0008477176,0.0002598768,0.0004674412,0.0009768263,0.0004763186,0.0006996371],"category_scores_gemma":[0.001122827,0.0002442878,0.0005777397,0.000680991,0.0002877706,0.0009873916,0.000437652,0.0005799005,0.0001559785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007196149,"about_ca_system_score_gemma":0.0007345544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02972949,"about_ca_topic_score_gemma":0.02489449,"domain_scores_codex":[0.9997947,0.00002309802,0.00001144622,0.00007300812,0.00004376205,0.00005408352],"domain_scores_gemma":[0.9996878,0.00008689828,0.00004930125,0.0000258135,0.0001239543,0.00002627309],"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":[0.0002424126,0.0002122368,0.02392028,0.00007669121,0.0001521197,0.0002257107,0.00008576085,0.7774338,0.01232045,0.003619139,0.002577236,0.1791342],"study_design_scores_gemma":[0.000001837146,0.00001454446,0.001698309,0.000002075609,0.00001469398,0.0000116817,0.000004095137,0.9969585,0.0007098909,0.0004870095,0.00009368281,0.000003758418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5382884,0.001122709,0.4544062,0.0004297852,0.0001634055,0.00004767341,0.0004409106,0.001279189,0.003821826],"genre_scores_gemma":[0.9911509,0.0001557312,0.007654153,0.00002919677,0.00001947189,0.00001570305,0.000184956,0.00001377751,0.0007760347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02972949,"threshold_uncertainty_score":0.05911291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008171756608160134,"score_gpt":0.2273625843024645,"score_spread":0.2191908276943044,"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."}}