{"id":"W3011804178","doi":"10.1097/jce.0000000000000398","title":"Progressing Toward the Application of Artificial Intelligence for Medical Equipment Replacement in Canadian Hospitals —An Idea From the Biomedical Engineering Department at Northern Health","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Engineering","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Medical equipment; Engineering management; Computer science; Health care; Health maintenance; Health management system; Scheduling (production processes); Engineering; Operations management; Medicine; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01801135,0.0007370014,0.0004214208,0.003907478,0.003572836,0.008224277,0.002402715,0.001781312,0.002013345],"category_scores_gemma":[0.01593848,0.0003733715,0.0008086768,0.004978338,0.007908246,0.005607754,0.001821945,0.003466028,0.0005603282],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04495119,"about_ca_system_score_gemma":0.08975524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9039704,"about_ca_topic_score_gemma":0.8964241,"domain_scores_codex":[0.9929958,0.001814261,0.0004402147,0.0004728227,0.003397172,0.0008796711],"domain_scores_gemma":[0.9833907,0.002589051,0.0005270845,0.0005980192,0.01125077,0.001644439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002699558,0.0004556032,0.045363,0.001331641,0.0002091745,0.000316198,0.007248118,0.01080184,0.004284668,0.1421199,0.10221,0.6853898],"study_design_scores_gemma":[0.0001394753,0.0004458823,0.08536185,0.002712566,0.0001913416,0.0003273904,0.01580336,0.04323433,0.007609282,0.1014119,0.7422796,0.0004829711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06462443,0.04464189,0.07235187,0.7299637,0.001938977,0.0004350856,0.0006579064,0.000579824,0.08480641],"genre_scores_gemma":[0.6037161,0.0624583,0.269469,0.03786184,0.001113664,0.0001569784,0.0006350444,0.0001534878,0.02443562],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9550488,"threshold_uncertainty_score":0.3261452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1812024310776606,"score_gpt":0.5059768805039305,"score_spread":0.32477444942627,"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."}}