{"id":"W2018218384","doi":"10.5555/2663575.2663590","title":"Inferring state for real-time monitoring of care processes","year":2013,"lang":"en","type":"article","venue":"Software Engineering in Health Care","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Key (lock); Process (computing); Computer science; Process mining; Event (particle physics); Service (business); Process management; State (computer science); Process modeling; Computer security; Work in process; Business process; Business process management; Operations management; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001413492,0.0002330952,0.0004322533,0.0004700299,0.0001056904,0.0001067116,0.000212298,0.00007071705,0.00001179221],"category_scores_gemma":[0.0006135819,0.0002425678,0.00007769219,0.000832737,0.00001291197,0.0007104286,0.00007269981,0.0001309411,0.00001470668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271889,"about_ca_system_score_gemma":0.000136431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003155659,"about_ca_topic_score_gemma":0.00004984393,"domain_scores_codex":[0.9984518,0.000003593769,0.0005468816,0.0003119029,0.0002135736,0.0004722101],"domain_scores_gemma":[0.9983696,0.0001117386,0.0002327095,0.0002100019,0.001048164,0.00002774011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002658081,0.00003800661,0.3322278,0.08517102,0.00004158973,0.000002203458,0.003319102,0.5519199,0.0001170698,0.00006363708,0.0001334459,0.02693968],"study_design_scores_gemma":[0.01304481,0.0006110553,0.4805987,0.04923278,0.000539389,0.000007219695,0.03614933,0.385987,0.004421892,0.00191107,0.01860019,0.008896528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814626,0.003901142,0.01264548,0.0001317282,0.0003440864,0.0008038185,0.00001511105,0.0006444994,0.00005151365],"genre_scores_gemma":[0.9902422,0.0001169074,0.008754708,0.00004615968,0.0004249508,0.00025097,0.00006765984,0.00007281964,0.00002366871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1659329,"threshold_uncertainty_score":0.9891626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009927956739736935,"score_gpt":0.2381439210515305,"score_spread":0.2282159643117935,"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."}}