{"id":"W3119505528","doi":"10.1016/j.asej.2020.10.015","title":"An evolutionary framework for estimating turning movements at road intersections","year":2021,"lang":"en","type":"article","venue":"Ain Shams Engineering Journal","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Computer science; Measure (data warehouse); Data-driven; Set (abstract data type); Subspace topology; Field (mathematics); Data mining; Centroid; Data set; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001436256,0.000843737,0.0008748694,0.001780145,0.0005497307,0.001039366,0.00164786,0.001134943,0.001145281],"category_scores_gemma":[0.002869998,0.0004784851,0.0007988673,0.001330334,0.0006341288,0.0007373235,0.0009196895,0.0007785414,0.0001882878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009047562,"about_ca_system_score_gemma":0.001151732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01561303,"about_ca_topic_score_gemma":0.01095046,"domain_scores_codex":[0.9993621,0.000182656,0.00003427365,0.0001441842,0.0001948931,0.00008186229],"domain_scores_gemma":[0.9993062,0.0003052125,0.00009186594,0.00002445539,0.0002330831,0.00003919419],"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":[0.00000732815,0.00001515169,0.0008152153,0.00001656783,0.00001734319,0.00003933222,0.00002953876,0.9695276,0.0004565268,0.003350642,0.0001738294,0.02555089],"study_design_scores_gemma":[0.000001461173,0.00001111988,0.0001674221,0.000003705357,0.000003641814,0.00001025749,0.000009618741,0.9985827,0.00009606581,0.0009001065,0.0002103421,0.000003518908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0123043,0.0001500406,0.9857132,0.00007755419,0.00001765901,0.00003273183,0.00003652708,0.00005755077,0.001610427],"genre_scores_gemma":[0.5151244,0.0004088217,0.479163,0.0000914928,0.00006548981,0.0003050959,0.0002831388,0.00005403489,0.004504572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01561303,"threshold_uncertainty_score":0.0310443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007012542308106,"score_gpt":0.2487042478642626,"score_spread":0.2386341224411816,"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."}}