{"id":"W4405954162","doi":"10.31354/globalce.v6i4.197","title":"Assessment and Capital Planning of a Regional Clinical Engineering Department Test Equipment Inventory","year":2024,"lang":"en","type":"article","venue":"Global Clinical Engineering Journal","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Test (biology); Concept inventory; Capital equipment; Engine department; Operations management; Capital (architecture); Engineering management; Business; Engineering; Operations research; Manufacturing engineering; Geography","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":[0.006206069,0.0002700682,0.0006963586,0.00009867538,0.0002313861,0.00003696284,0.000229673,0.0004518792,0.00007883778],"category_scores_gemma":[0.001539207,0.0002408084,0.0003417042,0.0002126736,0.0001142779,0.0001662179,0.0002106951,0.002737616,0.00002673947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005236095,"about_ca_system_score_gemma":0.0009779687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002620939,"about_ca_topic_score_gemma":0.000005582136,"domain_scores_codex":[0.9950953,0.0004193287,0.002832673,0.0004006045,0.0005699359,0.0006822169],"domain_scores_gemma":[0.9946781,0.003843059,0.0003101093,0.0002414718,0.0001596877,0.0007675933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001148653,0.0003990027,0.9435167,0.002498274,0.0005921315,0.000510081,0.000946853,0.008318683,0.00002495466,0.02741501,0.008304716,0.007358738],"study_design_scores_gemma":[0.00176215,0.001087907,0.8639212,0.005240228,0.0001404766,0.0002278109,0.0009632108,0.07909787,6.705185e-7,0.0008283874,0.04626735,0.0004627829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672479,0.00706199,0.01367149,0.002927857,0.007921561,0.0004837163,0.0001191089,0.0002328177,0.0003335804],"genre_scores_gemma":[0.9881659,0.001299024,0.007454293,0.0005241111,0.002435519,0.00002779687,0.00001877676,0.00003369404,0.00004087127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07959554,"threshold_uncertainty_score":0.9995631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2023052143687877,"score_gpt":0.548436532224343,"score_spread":0.3461313178555553,"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."}}