{"id":"W4408412751","doi":"10.1080/19427867.2025.2477005","title":"Highway non-recurrent congestion prediction using a multi-step spatio-temporal deep learning approach","year":2025,"lang":"en","type":"article","venue":"Transportation Letters","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001178607,0.0001719294,0.0001450666,0.0002796521,0.00009953983,0.00003552931,0.00008078838,0.00008442421,0.000009574032],"category_scores_gemma":[0.000003761937,0.0002001222,0.00006053683,0.0003368448,0.00003075398,0.000257468,0.000002451315,0.0002249538,0.000004126242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142321,"about_ca_system_score_gemma":0.000008639049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005578322,"about_ca_topic_score_gemma":0.00008524903,"domain_scores_codex":[0.9990946,0.00002524092,0.0003234214,0.000220328,0.000155553,0.0001808618],"domain_scores_gemma":[0.999747,0.000009970562,0.00005145347,0.0001103685,0.00003879984,0.0000424005],"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":[0.00003931807,0.00008501217,0.01723096,0.0004083762,0.000132345,0.000004880601,0.001037286,0.9435376,0.007777215,0.0004202641,0.004649533,0.0246772],"study_design_scores_gemma":[0.0006760414,0.0000162805,0.09029929,0.00007446182,0.00008366973,4.601585e-7,0.0001208223,0.9035615,0.0004546584,0.000001445796,0.004552011,0.0001593722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2230298,0.00004052451,0.7726218,0.00008120788,0.0005034118,0.0003371427,0.00001136992,0.003124015,0.0002508321],"genre_scores_gemma":[0.9773803,0.00003927977,0.02150063,0.0001365001,0.00004284425,0.00008166258,0.0007624531,0.00002479474,0.00003154948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7543505,"threshold_uncertainty_score":0.8160746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261452600056357,"score_gpt":0.2278180251714474,"score_spread":0.2152034991708839,"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."}}