{"id":"W4361269702","doi":"10.1155/2023/2765937","title":"Classification of the Traffic Status Subcategory with ETC Gantry Data: An Improved Support Tensor Machine Approach","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Key Technology Research and Development Program of Shandong","keywords":"Subcategory; Support vector machine; Block (permutation group theory); Computer science; Tensor (intrinsic definition); Artificial intelligence; Identification (biology); Generalization; Data mining; Pattern recognition (psychology); Machine learning; Algorithm; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002453549,0.0001100142,0.000164052,0.0001582228,0.00003574429,0.00001102176,0.0002504323,0.00004649028,0.000003598089],"category_scores_gemma":[0.000006500486,0.0000768128,0.00004499426,0.0003873804,0.00003689461,0.0006659109,0.000002840961,0.0001982387,4.867141e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002749148,"about_ca_system_score_gemma":0.00003833564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002268147,"about_ca_topic_score_gemma":0.00005513914,"domain_scores_codex":[0.9990187,0.00001869871,0.0004372487,0.000124761,0.0002567948,0.0001437998],"domain_scores_gemma":[0.9992869,0.00001347512,0.0002352443,0.000313851,0.00009391669,0.00005658413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002748977,0.0002032761,0.002530847,0.0003610264,0.0001665636,0.00001141076,0.00194538,0.885929,0.04284155,0.0004681778,0.0017202,0.0635476],"study_design_scores_gemma":[0.001679909,0.0003748954,0.7867224,0.00004778741,0.0002097163,0.00001409401,0.002633544,0.2022175,0.001885462,0.00004165866,0.003958655,0.0002143922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029852,0.00008638245,0.09493193,0.00009258792,0.0003689446,0.0003802422,0.000122087,0.0008525627,0.0001801079],"genre_scores_gemma":[0.9946023,0.0004120653,0.004424678,0.00001249629,0.00003702106,0.00000766744,0.0004569152,0.00002739622,0.00001950407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7841915,"threshold_uncertainty_score":0.3132335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726154375976308,"score_gpt":0.2427599521118669,"score_spread":0.2254984083521038,"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."}}