{"id":"W7135381720","doi":"10.66361/jiss.17","title":"A Deep Learning Algorithm for Travel Time Prediction","year":2025,"lang":"","type":"article","venue":"Journal of Intelligent and Sustainable Systems (JISS)","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University; University of Manitoba","funders":"","keywords":"Deep learning; Artificial neural network; Feature (linguistics); Pattern recognition (psychology); Key (lock)","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":[0.000649182,0.001103413,0.001036833,0.001187778,0.0004472547,0.0007363408,0.001879715,0.001082826,0.003397502],"category_scores_gemma":[0.002538709,0.0005464819,0.0007676343,0.001913285,0.0003349083,0.001421813,0.0008542324,0.002000371,0.001200724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505064,"about_ca_system_score_gemma":0.002130435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03211021,"about_ca_topic_score_gemma":0.03022443,"domain_scores_codex":[0.9996397,0.00004524787,0.00003648474,0.0001336611,0.00009247554,0.00005238378],"domain_scores_gemma":[0.9994432,0.0001937946,0.00006049344,0.00004927697,0.0002266864,0.00002648586],"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":[0.00008823207,0.0001004874,0.00244134,0.00007930552,0.00006624292,0.00005113776,0.00003165725,0.6791454,0.001079206,0.005090341,0.008341816,0.3034849],"study_design_scores_gemma":[0.000003877188,0.000007750432,0.0001108726,0.00000531303,0.000003393494,0.000007273341,0.000002735036,0.9975134,0.0002292647,0.001566052,0.0005472788,0.000002725337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01468646,0.0006536799,0.9786605,0.0003871584,0.0001409532,0.00009197293,0.001051669,0.002144708,0.002182946],"genre_scores_gemma":[0.4181805,0.001036274,0.5638689,0.0004316991,0.0001545633,0.0005399588,0.005657997,0.0002333116,0.00989679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03211021,"threshold_uncertainty_score":0.06384665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005146988496643664,"score_gpt":0.2209558656173624,"score_spread":0.2158088771207187,"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."}}