{"id":"W2754085840","doi":"10.1109/ichi.2017.75","title":"Provider-Consumer Anomaly Detection for Healthcare Systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Anomaly detection; Task (project management); Government (linguistics); Health care; Anomaly (physics); Computer science; Quality (philosophy); Work (physics); Function (biology); Data mining; Phase (matter); Business","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":[0.003800327,0.0006283745,0.0007880744,0.002169559,0.0006323924,0.001527135,0.001527196,0.00129622,0.001220279],"category_scores_gemma":[0.01270015,0.0003757356,0.0009135942,0.001835081,0.000904754,0.002596291,0.00106701,0.001308668,0.0003358837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002211536,"about_ca_system_score_gemma":0.001701163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008799498,"about_ca_topic_score_gemma":0.007021044,"domain_scores_codex":[0.9956049,0.001514468,0.0002657793,0.0008740745,0.001513979,0.0002268707],"domain_scores_gemma":[0.9924125,0.004109345,0.0009755772,0.0009162899,0.001370622,0.0002156452],"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":[0.000449564,0.0005874606,0.1533973,0.0004501054,0.0005009049,0.0008412413,0.001182957,0.4378076,0.009778819,0.07741732,0.009587802,0.307999],"study_design_scores_gemma":[0.000007970169,0.0000375635,0.003639521,0.000008563129,0.00002038851,0.0001659793,0.00007407983,0.9775249,0.001095,0.01584597,0.00156708,0.00001300199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1051666,0.0004095323,0.8881314,0.001515047,0.00007678589,0.0002581858,0.0004023128,0.001599352,0.002440694],"genre_scores_gemma":[0.8240249,0.0001625056,0.173933,0.0001681546,0.00006574806,0.00009937218,0.00043924,0.00006576769,0.001041353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008799498,"threshold_uncertainty_score":0.02009833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03498777777455201,"score_gpt":0.3064840716967706,"score_spread":0.2714962939222186,"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."}}