{"id":"W4281818989","doi":"10.3390/a15060196","title":"Process Mining the Performance of a Real-Time Healthcare 4.0 Systems Using Conditional Survival Models","year":2022,"lang":"en","type":"article","venue":"Algorithms","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Directorate for Biological Sciences; Queen's University; Queen's University Belfast","keywords":"Robustness (evolution); Health care; Computer science; Process (computing); Healthcare system; Intensive care; Risk analysis (engineering); Medicine; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007209755,0.000168459,0.0003180989,0.0002046926,0.0008754834,0.0001072497,0.0003857762,0.00003648998,0.00007237001],"category_scores_gemma":[0.00001377111,0.0001371885,0.00008506563,0.0009789274,0.0000658024,0.0007464213,0.000187076,0.0001631458,0.000007599537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004374383,"about_ca_system_score_gemma":0.0001046938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002506426,"about_ca_topic_score_gemma":0.000005297898,"domain_scores_codex":[0.9982973,0.00002981252,0.0004013339,0.0002874638,0.0006985168,0.0002855246],"domain_scores_gemma":[0.9988297,0.00004161343,0.000417864,0.0002243816,0.0004746254,0.00001186763],"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":[0.00002745121,0.00006494189,0.002540063,0.0005617058,0.00006858167,0.000005113523,0.0002216806,0.9937208,0.0001304634,0.001655533,0.00008995807,0.0009136906],"study_design_scores_gemma":[0.0002159401,0.000009863542,0.0001268965,0.00005791561,0.00008915466,0.00001072614,0.001893907,0.9966605,0.000007830517,0.0006130153,0.0001406463,0.0001735592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951257,0.0003274352,0.002555576,0.0005538317,0.0003407314,0.00019899,0.00003516668,0.0001022415,0.0007603324],"genre_scores_gemma":[0.9986703,0.00001635195,0.0001652643,0.0001762405,0.0005996941,0.00007123329,0.0001308836,0.00003303594,0.0001369408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00354466,"threshold_uncertainty_score":0.6733599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04302586941610657,"score_gpt":0.2621128415100697,"score_spread":0.2190869720939631,"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."}}