{"id":"W2608524074","doi":"10.5539/cis.v10n2p30","title":"Research on Traffic Flow Statistics Algorithm Based on Inter - Frame Similarity","year":2017,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Background subtraction; Frame (networking); Similarity (geometry); Algorithm; Loop (graph theory); Traffic flow (computer networking); Flow (mathematics); Data mining; Artificial intelligence; Image (mathematics); Mathematics; Pixel","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":[0.0004941858,0.00005442313,0.00004807272,0.0002171149,0.0006371442,0.0005396791,0.0002557327,0.00002874194,0.00001082618],"category_scores_gemma":[0.00003860939,0.00004964839,0.000008542067,0.0001159856,0.0001737541,0.001016794,0.0000396687,0.0001542732,0.00008329033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003502826,"about_ca_system_score_gemma":0.00003172437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001712265,"about_ca_topic_score_gemma":3.506228e-7,"domain_scores_codex":[0.9993498,0.000007039571,0.0001251694,0.00008444297,0.000298555,0.0001349618],"domain_scores_gemma":[0.999324,0.00007753347,0.00002162987,0.0003170067,0.000184468,0.00007536719],"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":[9.511971e-7,0.000005392744,0.000006112818,0.000005111361,4.837084e-7,5.582838e-8,0.0001926645,0.6628127,0.000001623446,0.001426938,0.001534184,0.3340138],"study_design_scores_gemma":[0.0001468095,0.00003445633,0.003645767,0.00001485314,5.110338e-7,2.799857e-7,0.00001132903,0.9867455,0.00004780214,0.00009978911,0.00919522,0.00005766888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008374757,8.93366e-7,0.9871114,0.0001742002,0.0002296443,0.00009619465,0.00002661606,0.00007292954,0.00391332],"genre_scores_gemma":[0.9313798,0.000005760362,0.06808417,0.0004614528,0.00004084787,0.000007015336,0.00001262638,0.000002658482,0.000005708117],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.923005,"threshold_uncertainty_score":0.5204138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.061291965919504,"score_gpt":0.3603155487879739,"score_spread":0.29902358286847,"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."}}