{"id":"W4411300991","doi":"10.1007/978-981-96-8170-9_8","title":"Streaming Isolation Forest","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Isolation (microbiology); Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003085271,0.0008495282,0.0005711137,0.0008699707,0.0005926664,0.0008954309,0.001000883,0.0005079418,0.03692698],"category_scores_gemma":[0.001232197,0.0003428305,0.0005242652,0.001236137,0.0002285357,0.00162101,0.0009018496,0.001082549,0.02013858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263301,"about_ca_system_score_gemma":0.0006628922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554989,"about_ca_topic_score_gemma":0.004699126,"domain_scores_codex":[0.999781,0.00001684445,0.00001015085,0.00008880599,0.00007094194,0.00003235324],"domain_scores_gemma":[0.9995622,0.00009961893,0.00001902668,0.0001664351,0.000106055,0.00004667078],"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":[0.0004891887,0.0001779965,0.0007599161,0.0002766791,0.00004780962,0.000145549,0.00003472911,0.01684484,0.01641092,0.01251576,0.1204603,0.8318363],"study_design_scores_gemma":[0.0001488963,0.0002274869,0.002298499,0.0001167053,0.0001031104,0.001259851,0.0000912055,0.6181405,0.02941989,0.1214277,0.2267159,0.0000502489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02012886,0.001926584,0.8697562,0.0006558027,0.0008806944,0.0004561169,0.008051953,0.02272286,0.0754209],"genre_scores_gemma":[0.161494,0.001489095,0.7117434,0.0005315585,0.0007384935,0.0003310991,0.03270011,0.00343618,0.08753607],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03692698,"threshold_uncertainty_score":0.1235331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102026566570175,"score_gpt":0.2453008897578788,"score_spread":0.234280624092177,"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."}}