{"id":"W2791866616","doi":"10.1097/jce.0000000000000276","title":"Improving the Quality Management System of the Biomedical Engineering Department at Niagara Health as per Best Practices Recommended by Canadian Medical and Biological Engineering Society","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Engineering","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara Health System; Regional Municipality of Niagara","funders":"","keywords":"Quality (philosophy); Engineering management; Clinical engineering; Plan (archaeology); Best practice; Health systems engineering; Engine department; Health care; Engineering; Management; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01712466,0.0002519222,0.0008434904,0.00007663147,0.0005829794,0.00001636903,0.0005782598,0.0005673849,0.0001152865],"category_scores_gemma":[0.006578877,0.0001480872,0.0003289206,0.0002359641,0.0001494505,0.0001122004,0.0003599822,0.002305153,0.00001372031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006398296,"about_ca_system_score_gemma":0.001006788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003870669,"about_ca_topic_score_gemma":0.001114025,"domain_scores_codex":[0.9939194,0.0009042916,0.003185436,0.0002888095,0.0009481971,0.0007538968],"domain_scores_gemma":[0.9920012,0.004236597,0.001901426,0.0004007482,0.000253728,0.001206279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004297099,0.004327198,0.2695906,0.1122486,0.01391717,0.0007613217,0.05679373,0.006008526,0.00375168,0.07462642,0.1731131,0.2805645],"study_design_scores_gemma":[0.004955578,0.002003616,0.07201771,0.006087278,0.0002406355,0.0004193844,0.01012864,0.06350943,0.00006643149,0.00001967234,0.8397304,0.0008212687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165744,0.002294418,0.005833622,0.06661579,0.006935451,0.001344216,0.0001089371,0.00009285277,0.000200268],"genre_scores_gemma":[0.9901997,0.0009886882,0.00389732,0.003019113,0.001749487,0.00002962588,0.000007022682,0.00003762418,0.00007141396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6666172,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1769550963688128,"score_gpt":0.5001287730023494,"score_spread":0.3231736766335366,"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."}}