{"id":"W2753121780","doi":"10.3390/admsci7030032","title":"The Synergy Tool: Making Important Quality Gains within One Healthcare Organization","year":2017,"lang":"en","type":"article","venue":"Administrative Sciences","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Hamilton Health Sciences","funders":"Hamilton Health Sciences","keywords":"Staffing; Workload; Health care; Quality (philosophy); Variety (cybernetics); Nursing; Quality management; Process management; Patient safety; Analytics; Acute care; Business; Medicine; Computer science; Marketing; Service (business)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003564889,0.000109624,0.0001636081,0.00002998633,0.01324428,0.00003127862,0.0006930812,0.00009520868,0.00009526787],"category_scores_gemma":[0.006433168,0.00007218409,0.00002697911,0.0002341194,0.001145675,0.0003676393,0.0001201303,0.0003092501,0.00004858038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007733255,"about_ca_system_score_gemma":0.001785922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001526094,"about_ca_topic_score_gemma":0.003620555,"domain_scores_codex":[0.9974337,0.0005879101,0.0007097018,0.0003244814,0.0005482609,0.0003959657],"domain_scores_gemma":[0.9967223,0.0006210097,0.001718508,0.0005104361,0.0003322888,0.00009547002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002886772,0.00005299869,0.4766437,0.00004780238,0.00001556445,0.000002208405,0.01047362,0.000005669018,0.0002530795,0.5107564,0.0004279095,0.001292146],"study_design_scores_gemma":[0.0002899229,0.0002427205,0.9544031,0.0003089765,0.00001002291,0.000001368057,0.02573918,0.0001186385,0.0005011144,0.008210875,0.009975784,0.0001982854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8010498,0.000221763,0.00229483,0.1645647,0.003368758,0.001147831,0.00006503428,0.0001528592,0.02713441],"genre_scores_gemma":[0.9963974,0.00008318345,0.0005080398,0.001482166,0.0001372006,0.00004255439,0.00001302133,0.000006896746,0.001329564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5025455,"threshold_uncertainty_score":0.9880403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4141300388340322,"score_gpt":0.5632163255001403,"score_spread":0.1490862866661082,"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."}}