{"id":"W4206231027","doi":"10.3390/jrfm14120612","title":"Super RaSE: Super Random Subspace Ensemble Classification","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspace topology; Random subspace method; Classifier (UML); Computer science; Algorithm; Ensemble learning; Artificial intelligence; Pattern recognition (psychology); Iterative method","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003373482,0.001175094,0.002427588,0.001912698,0.0007671436,0.001373698,0.002490096,0.001586239,0.003175269],"category_scores_gemma":[0.007047884,0.0005022326,0.001734235,0.00187116,0.0007721231,0.002589597,0.002217463,0.002303876,0.002002787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004230826,"about_ca_system_score_gemma":0.001243753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002559181,"about_ca_topic_score_gemma":0.004480525,"domain_scores_codex":[0.9976336,0.0008998382,0.0001070478,0.0003939069,0.0007480652,0.0002175456],"domain_scores_gemma":[0.9969223,0.001129268,0.0002000313,0.0006931999,0.000914917,0.0001401829],"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":[0.0001788258,0.0001661545,0.004163363,0.0001224204,0.000398684,0.0001245616,0.0001459707,0.3275799,0.005247221,0.02341521,0.01227621,0.6261815],"study_design_scores_gemma":[0.000009296267,0.00003966923,0.0002923761,0.00000859215,0.0000136269,0.00006417893,0.00001458789,0.9869179,0.001149134,0.00878132,0.002694799,0.00001452276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004839488,0.0002300979,0.9930744,0.0001268493,0.00005696924,0.00004104197,0.00009835912,0.0007982825,0.0007344224],"genre_scores_gemma":[0.1878639,0.0004408738,0.8049541,0.0004630309,0.0002316743,0.0002937484,0.001533229,0.0003430645,0.003876392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003373482,"threshold_uncertainty_score":0.01784092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009062730634919516,"score_gpt":0.2234480259977533,"score_spread":0.2143852953628338,"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."}}