{"id":"W4387491881","doi":"10.2139/ssrn.4587161","title":"Impact of Software Change on Workflow and Satisfaction of Intensive Care Staff","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Saint-Luc","funders":"","keywords":"Workflow; Business; Process management; Computer science; Database","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":[0.003721809,0.0001927708,0.0003348949,0.0009571043,0.0007873204,0.001461285,0.0005109086,0.000859891,0.005152547],"category_scores_gemma":[0.03971998,0.0001925219,0.001056321,0.001080074,0.0005571093,0.0007416105,0.001034526,0.001240478,0.0005118428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00194115,"about_ca_system_score_gemma":0.002645916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092062,"about_ca_topic_score_gemma":0.008708432,"domain_scores_codex":[0.9943721,0.002460735,0.000553772,0.0003834609,0.001109147,0.001120685],"domain_scores_gemma":[0.9590192,0.02058185,0.008907354,0.001145831,0.003638377,0.006707488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003700862,0.002780557,0.9484546,0.0001024064,0.0002394349,0.0002430054,0.002742314,0.00141663,0.001027595,0.0001580256,0.0008716893,0.03826286],"study_design_scores_gemma":[0.00004591957,0.00170653,0.9942297,0.00001846304,0.00007111491,0.00006464986,0.002049386,0.00116287,0.0003025532,0.00009920435,0.0002327818,0.00001692489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999008,0.00005628328,0.00005534272,0.0002106365,0.00001349792,0.000008236581,0.00008713867,0.000007137425,0.0005539386],"genre_scores_gemma":[0.9995759,0.00002078923,0.00007431121,0.00004338951,0.000009161235,0.000006409604,0.0000738796,0.000002752633,0.0001933781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01092062,"threshold_uncertainty_score":0.02171409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412973993499434,"score_gpt":0.2915930654520704,"score_spread":0.267463325517076,"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."}}