{"id":"W2268873533","doi":"10.5539/gjhs.v8n9p207","title":"A Case Study on Improving Intensive Care Unit (ICU) Services Reliability: By Using Process Failure Mode and Effects Analysis (PFMEA)","year":2016,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tehran University of Medical Sciences and Health Services","keywords":"Failure mode and effects analysis; Reliability (semiconductor); Intensive care unit; Process (computing); Medicine; Reliability engineering; Computer science; Medical emergency; Intensive care medicine; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004283973,0.0005758706,0.0003358866,0.002063995,0.002439199,0.001226399,0.001233119,0.001819884,0.002162057],"category_scores_gemma":[0.007477399,0.0003000163,0.0006440805,0.001629496,0.001000163,0.00123468,0.001226513,0.001041993,0.0002275427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173587,"about_ca_system_score_gemma":0.002375299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005604634,"about_ca_topic_score_gemma":0.009148047,"domain_scores_codex":[0.995605,0.002606095,0.0002234374,0.0002567418,0.0008710643,0.0004377347],"domain_scores_gemma":[0.9925041,0.004698461,0.000805243,0.0003568262,0.001193481,0.0004418688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001547271,0.006534232,0.2381952,0.004544751,0.0002477972,0.1480154,0.2318774,0.02904815,0.02918083,0.01651746,0.01228916,0.2820023],"study_design_scores_gemma":[0.0004861778,0.009359358,0.2260028,0.002604515,0.000535385,0.04579624,0.4860337,0.07567325,0.04399529,0.008112138,0.101017,0.0003840661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975476,0.0007126576,0.01404575,0.001160766,0.00004942321,0.0006391914,0.0001294101,0.00004900176,0.007737747],"genre_scores_gemma":[0.9827232,0.000571804,0.01437223,0.000142391,0.00002270263,0.0001691422,0.00004837873,0.00001137752,0.001938721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005604634,"threshold_uncertainty_score":0.02265614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05486071465378702,"score_gpt":0.4605415056584509,"score_spread":0.4056807910046639,"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."}}