{"id":"W2625506578","doi":"10.1097/jce.0000000000000231","title":"Clinical/Biomedical Quality Management System","year":2017,"lang":"en","type":"article","venue":"Journal of Clinical Engineering","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara Health System","funders":"","keywords":"Clinical engineering; Quality (philosophy); Quality management system; Audit; Engineering management; Quality assurance; Computer science; Consistency (knowledge bases); Process management; Process (computing); Health care; Service (business); Quality management; Management system; Operations management; Engineering; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03236397,0.0001671373,0.001301243,0.00009153215,0.0006607804,0.00002507441,0.0009220281,0.0005941481,0.00008543585],"category_scores_gemma":[0.01021581,0.000130691,0.0006545409,0.00006103956,0.000141427,0.0002207561,0.0002901666,0.003014585,0.0001589263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219952,"about_ca_system_score_gemma":0.000288828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000372575,"about_ca_topic_score_gemma":0.000006334471,"domain_scores_codex":[0.9902824,0.001389506,0.006899174,0.0002357647,0.0007009243,0.0004922179],"domain_scores_gemma":[0.9895875,0.004881641,0.003424407,0.0009354352,0.0003981959,0.0007727935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001214933,0.0007756651,0.6457573,0.01224131,0.001254115,0.0009535337,0.0007999809,0.0002855548,0.000007963368,0.1017383,0.01403794,0.2209334],"study_design_scores_gemma":[0.002859551,0.0002516622,0.7804977,0.002500916,0.00007770948,0.00001244733,0.001163763,0.001472436,3.477201e-7,0.000187107,0.210802,0.0001743365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8103654,0.0006225118,0.07306198,0.02390739,0.06937705,0.001223897,0.00004622739,0.0002955359,0.02109996],"genre_scores_gemma":[0.9792941,0.000655928,0.01185378,0.0007037814,0.006906231,0.000008266491,0.000001858832,0.00003040743,0.0005456842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.220759,"threshold_uncertainty_score":0.9992855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4121547630395136,"score_gpt":0.6430456067691983,"score_spread":0.2308908437296847,"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."}}