{"id":"W2004167640","doi":"10.5539/mas.v9n5p323","title":"Ensuring the Accuracy of Traffic Monitoring Using Unmanned Aerial Vehicles Vision Systems","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Hough transform; Position (finance); Computer vision; Drone; Real-time computing; Artificial intelligence; Tracking system; Image (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":[0.001292052,0.0001125411,0.0001403417,0.00009853479,0.000193672,0.0000800869,0.0002934292,0.00003625537,4.34287e-7],"category_scores_gemma":[0.00008221681,0.00008757992,0.00002380788,0.0004332002,0.0001457517,0.0002523948,0.00005079432,0.0001137709,0.000002694129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306078,"about_ca_system_score_gemma":0.00005334523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004499989,"about_ca_topic_score_gemma":4.966596e-7,"domain_scores_codex":[0.9987494,0.0000217529,0.0002212632,0.0001901332,0.0005583729,0.0002590131],"domain_scores_gemma":[0.9994344,0.00006790872,0.00006602753,0.0002552482,0.00008629415,0.00009010064],"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":[0.00000799229,0.000002652039,0.000007803243,0.000009297241,0.000001429181,1.280084e-7,0.00031267,0.4983515,0.49427,0.00002532201,8.742039e-7,0.007010348],"study_design_scores_gemma":[0.000203154,0.000009954693,0.00007503462,0.00002630604,0.000005248823,0.000002169769,0.0003112239,0.7573999,0.2416296,0.0001868151,0.00005887219,0.00009168958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7279821,0.0002208955,0.2698991,0.000002341308,0.0009931365,0.0001576476,4.723463e-7,0.0001284176,0.0006158882],"genre_scores_gemma":[0.9931737,0.000005556462,0.006590086,0.000001386522,0.0001980694,0.00001079022,1.001204e-7,0.00001578744,0.000004584333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2651916,"threshold_uncertainty_score":0.3571406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08889687816717053,"score_gpt":0.3203809628444334,"score_spread":0.2314840846772629,"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."}}