{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008508596,0.001094232,0.0007743145,0.002718385,0.0003987563,0.001796158,0.0009719747,0.0009235317,0.001215547],"category_scores_gemma":[0.02075789,0.0003146845,0.001298415,0.00175736,0.0006078638,0.001425632,0.001044031,0.00111,0.0003371517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249766,"about_ca_system_score_gemma":0.001468836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00677437,"about_ca_topic_score_gemma":0.004036078,"domain_scores_codex":[0.9971997,0.001198219,0.0002545338,0.0005024121,0.0006302747,0.0002149828],"domain_scores_gemma":[0.9832194,0.0120636,0.002179535,0.001003875,0.001289787,0.0002438002],"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":[0.0003049432,0.0002106507,0.05599326,0.0001294201,0.0002413547,0.0001758169,0.0002101585,0.8780217,0.002817954,0.008071399,0.0006633709,0.05315992],"study_design_scores_gemma":[0.000003134417,0.00005140782,0.002547057,0.000007006872,0.00001620483,0.00001739302,0.00001923553,0.994279,0.0008684147,0.002094157,0.00008819481,0.000008811674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5440771,0.0003271794,0.4515476,0.0007760379,0.00003768334,0.000138735,0.0009290545,0.0007984329,0.001368216],"genre_scores_gemma":[0.9561971,0.0001184068,0.04232818,0.00003372912,0.00001563579,0.00006543159,0.0007928217,0.00002086536,0.0004278517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008508596,"threshold_uncertainty_score":0.04499829,"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."}}