{"id":"W2525884872","doi":"10.1109/aim.2016.7576883","title":"Lane changing prediction at highway lane drops using support vector machine and artificial neural network classifiers","year":2016,"lang":"en","type":"article","venue":"","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Merge (version control); Support vector machine; Artificial neural network; Computer science; Artificial intelligence; Machine learning; Data mining; Pattern recognition (psychology)","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":[0.0004462205,0.0005322123,0.0004446393,0.001222934,0.0002842481,0.0004600333,0.00052783,0.0004845123,0.0004677898],"category_scores_gemma":[0.001299742,0.0002074746,0.0004293249,0.0005716812,0.0001365181,0.0008995969,0.0003132379,0.0005124611,0.0002176564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003276639,"about_ca_system_score_gemma":0.0004280784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007814173,"about_ca_topic_score_gemma":0.007123455,"domain_scores_codex":[0.9996945,0.00005249798,0.0000256167,0.00006126413,0.0001201185,0.00004609625],"domain_scores_gemma":[0.999313,0.000202801,0.0001152435,0.00004477138,0.000289628,0.00003459334],"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":[0.0002475271,0.0003693487,0.05820408,0.00008227034,0.0001232835,0.0002064995,0.0001000122,0.5085592,0.01025988,0.0007308063,0.001929573,0.4191875],"study_design_scores_gemma":[0.000001849947,0.00002816191,0.002586588,0.000003021772,0.000007279474,0.00001056768,0.00001371988,0.9959342,0.001130625,0.0001442279,0.0001351985,0.000004420001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5707845,0.000394449,0.4249299,0.0001826967,0.0001080215,0.00005176049,0.0002242847,0.00115792,0.002166439],"genre_scores_gemma":[0.9739351,0.00009546829,0.0249403,0.00001852374,0.00002272535,0.00002181215,0.0002054959,0.00001120286,0.0007494682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007814173,"threshold_uncertainty_score":0.01553738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519809682400051,"score_gpt":0.2057823307547497,"score_spread":0.1905842339307492,"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."}}