{"id":"W2773689988","doi":"","title":"A Staffing Level Survey of Biomedical Engineering Departments in Canadian Hospitals","year":2017,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Staffing; Business; Operations management; Medicine; Engineering; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002549815,0.0001371024,0.0003451438,0.0002187794,0.0006958073,0.0000201404,0.0004186693,0.0002944216,0.00006256967],"category_scores_gemma":[0.004606971,0.0001371775,0.00003177093,0.0001643095,0.00008599235,0.0002487209,0.0001244566,0.0005097682,0.00004069729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003603438,"about_ca_system_score_gemma":0.0008680554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6773009,"about_ca_topic_score_gemma":0.5549589,"domain_scores_codex":[0.9980152,0.00004587072,0.0006333933,0.0002414262,0.0002448201,0.0008192572],"domain_scores_gemma":[0.9985037,0.0002242975,0.0002782212,0.0002079025,0.0003368211,0.0004490642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000171121,0.00001942206,0.9929364,0.0006625204,0.00001041468,0.000004383378,0.003230033,4.914271e-7,0.0001187054,0.001637884,0.0008171797,0.0005454842],"study_design_scores_gemma":[0.0004288158,0.00004821746,0.9948208,0.0005534929,0.000003370326,6.634453e-7,0.0008202249,0.0003657286,0.00004677352,0.00008587785,0.002693283,0.0001327055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951943,0.00006923929,0.000006883054,0.001684681,0.00052698,0.000490537,0.0002294867,0.00002884393,0.001769086],"genre_scores_gemma":[0.9991757,0.00003610507,0.0002698266,0.000172126,0.00009482761,0.00006440547,0.00003256613,0.00002162345,0.0001328526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.122342,"threshold_uncertainty_score":0.5593935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1902561233743643,"score_gpt":0.4613925418685499,"score_spread":0.2711364184941856,"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."}}