{"id":"W3030320748","doi":"10.1139/cjce-2019-0737","title":"Active group route guidance based on DODE: A novel modeling framework integrating dynamic driver behavior","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Reliability (semiconductor); Computer science; Key (lock); Transport engineering; Work (physics); Guidance system; Simulation; Reliability engineering; Engineering; Computer security","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":[0.0005238538,0.0008468977,0.0006619355,0.0006576013,0.0003804009,0.0009449877,0.001659059,0.0008762843,0.001266989],"category_scores_gemma":[0.001330165,0.0004132192,0.0006695773,0.0005947868,0.0004770292,0.001468655,0.000995606,0.001113241,0.000271769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008003318,"about_ca_system_score_gemma":0.001224746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03289127,"about_ca_topic_score_gemma":0.02205132,"domain_scores_codex":[0.99963,0.00008215589,0.00001660374,0.0001249146,0.00008618308,0.0000601962],"domain_scores_gemma":[0.9995412,0.0001421225,0.0001114574,0.00004242785,0.0001211654,0.00004178294],"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":[0.00001946661,0.00003807357,0.002146174,0.00002208014,0.00002288146,0.00004408447,0.00007078215,0.9816134,0.0008299975,0.006743274,0.0003780356,0.008071797],"study_design_scores_gemma":[0.000001417288,0.000009781394,0.0001833825,0.000001700001,0.00000417597,0.000006499057,0.000006619413,0.9986505,0.00006229728,0.0007653501,0.0003039213,0.000004395608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05613659,0.0002649586,0.9372211,0.0004124938,0.00008172824,0.00006450363,0.0003166276,0.0003529894,0.005149151],"genre_scores_gemma":[0.9583879,0.0003409169,0.03687646,0.00006375708,0.00005727839,0.0001087658,0.0003340097,0.00004620092,0.003784809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03289127,"threshold_uncertainty_score":0.06539965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469796663257235,"score_gpt":0.2399686838781342,"score_spread":0.2252707172455618,"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."}}