{"id":"W2303159270","doi":"10.1117/1.jei.25.5.051204","title":"Large-scale machine learning and evaluation platform for real-time traffic surveillance","year":2016,"lang":"en","type":"article","venue":"Journal of Electronic Imaging","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intelligent Mechatronic Systems (Canada); Christie (Canada)","funders":"National Research Council Canada","keywords":"Computer science; Cloud computing; Artificial intelligence; Machine learning; Process (computing); AdaBoost; Scale (ratio); Data mining; Ground truth; Real-time computing; Support vector machine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01228738,0.001970402,0.001562732,0.002132278,0.001048541,0.001709712,0.003716705,0.001530534,0.003955554],"category_scores_gemma":[0.01328658,0.0005929105,0.0008262698,0.001533017,0.0009301357,0.002930495,0.002082256,0.002200825,0.00386396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002221839,"about_ca_system_score_gemma":0.001970871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027119,"about_ca_topic_score_gemma":0.009296687,"domain_scores_codex":[0.9932921,0.002147063,0.0005175281,0.001222205,0.002324262,0.0004967576],"domain_scores_gemma":[0.9895735,0.002057142,0.0008440575,0.002181249,0.004061265,0.001282838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007596415,0.008860501,0.02571829,0.001127107,0.001208985,0.001145275,0.0004460498,0.1564177,0.07110926,0.00882808,0.2796377,0.4379046],"study_design_scores_gemma":[0.0005416521,0.001154145,0.01245519,0.00005871517,0.00006411751,0.0001771469,0.0001426996,0.9339478,0.03344374,0.003524766,0.01438043,0.0001094899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2973154,0.001716541,0.4819892,0.002329507,0.001895128,0.005909961,0.01762971,0.1779961,0.01321841],"genre_scores_gemma":[0.6416342,0.000314787,0.2959093,0.0006384777,0.0001949342,0.0028007,0.05137654,0.002305715,0.004825282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01228738,"threshold_uncertainty_score":0.06498265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007063352452191428,"score_gpt":0.267598135147381,"score_spread":0.2605347826951895,"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."}}