{"id":"W2549542439","doi":"10.1109/isi.2016.7745453","title":"Activity monitoring using topic models","year":2016,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Categorical variable; Computer science; Data mining; Set (abstract data type); Window (computing); Data set; Dimensionality reduction; Task (project management); Pattern recognition (psychology); Support vector machine; Artificial intelligence; Machine learning","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":[0.002845952,0.001379837,0.001632816,0.003605571,0.0006177073,0.002521615,0.002179877,0.001610456,0.001207374],"category_scores_gemma":[0.008690618,0.000707873,0.00193801,0.003189562,0.0005692339,0.003275698,0.001064095,0.002124415,0.001151782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009923002,"about_ca_system_score_gemma":0.0007592063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038044,"about_ca_topic_score_gemma":0.01123653,"domain_scores_codex":[0.9978628,0.0007068995,0.0001341135,0.0008517238,0.0002917696,0.0001527763],"domain_scores_gemma":[0.9949521,0.00352623,0.0004721397,0.0004234714,0.0004926404,0.0001333397],"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":[0.000647946,0.0005844648,0.04944011,0.0005005123,0.0009583376,0.0003749643,0.001117762,0.4587955,0.005330936,0.02626008,0.0190166,0.4369729],"study_design_scores_gemma":[0.00001118354,0.00002336394,0.002251544,0.00001570125,0.0000447137,0.00008324472,0.00003890369,0.9869995,0.0003634229,0.008484651,0.00166599,0.00001778566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07654665,0.003413344,0.9091209,0.001188617,0.0003214769,0.0002108375,0.002303757,0.003391146,0.003503315],"genre_scores_gemma":[0.858283,0.002259654,0.1292661,0.0002781921,0.0007638666,0.0003712537,0.004267368,0.0002396198,0.004270994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01038044,"threshold_uncertainty_score":0.02064008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07190127207603408,"score_gpt":0.2946379590737719,"score_spread":0.2227366869977379,"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."}}