{"id":"W3120231006","doi":"10.18280/ts.370612","title":"Detection of Unusual Targets in Traffic Images Based on One-Class Extreme Machine Learning","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Sciences","keywords":"Computer science; Extreme learning machine; Artificial intelligence; Pattern recognition (psychology); Discriminative model; Support vector machine; Classifier (UML); Anomaly detection; Feature (linguistics); Machine learning; Artificial neural network","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":[0.0004185901,0.0001620685,0.0002130433,0.0001699579,0.0001188435,0.0000398732,0.0003461106,0.00004613151,0.0001152324],"category_scores_gemma":[0.00005990654,0.000158975,0.00007720799,0.0004075405,0.0000260171,0.0001481494,0.00006985303,0.0003035546,0.00001992588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003744016,"about_ca_system_score_gemma":0.00003545579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004536019,"about_ca_topic_score_gemma":0.00002085251,"domain_scores_codex":[0.9984105,0.0002413319,0.0003145622,0.0003715824,0.0004086227,0.0002533611],"domain_scores_gemma":[0.9994968,0.0001146524,0.0001267328,0.0001307244,0.0000311765,0.00009997085],"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":[0.0002088228,0.0004833553,0.002010365,0.00009644617,0.0000226142,0.00003076613,0.002189745,0.7012248,0.06301012,0.0002854143,0.00007083741,0.2303667],"study_design_scores_gemma":[0.001200581,0.0009352992,0.006564433,0.00003397521,0.000006044951,9.068273e-7,0.00001734141,0.9754733,0.01384273,0.00001150176,0.001754115,0.0001598014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4551855,0.0001221472,0.538865,0.004159718,0.0001055436,0.0002558249,0.000004843388,0.000322797,0.0009785887],"genre_scores_gemma":[0.9970555,0.000002891626,0.00236607,0.0004403925,0.00007134998,0.000009711825,0.000007851812,0.00001269536,0.00003348596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5418701,"threshold_uncertainty_score":0.6482813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461697728806281,"score_gpt":0.2233558073890963,"score_spread":0.1987388301010335,"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."}}