{"id":"W2313694280","doi":"10.2345/0899-8205-50.s2.18","title":"Safe to Handle? Comparing Manually and Machine-Washed Medical Devices","year":2016,"lang":"en","type":"article","venue":"Biomedical Instrumentation & Technology","topic":"Medical Device Sterilization and Disinfection","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health","funders":"","keywords":"Medical device; SAFER; Single use; Computer science; Rendering (computer graphics); Sterilization (economics); Medical equipment; Process engineering; Reliability engineering; Biomedical engineering; Engineering; Medicine; Computer security; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01346648,0.0004964361,0.0008417279,0.001593693,0.0005530717,0.003155512,0.001465271,0.002024903,0.006765713],"category_scores_gemma":[0.07290307,0.0002846273,0.001759457,0.001016834,0.001614743,0.004347869,0.001663001,0.001148406,0.001679001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009453047,"about_ca_system_score_gemma":0.000995294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009290631,"about_ca_topic_score_gemma":0.001088839,"domain_scores_codex":[0.9803941,0.007222057,0.003420356,0.001384193,0.006764983,0.0008141696],"domain_scores_gemma":[0.9227007,0.05056011,0.016709,0.002629782,0.005942207,0.001458096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02482712,0.004924088,0.407604,0.01450491,0.002567214,0.001254636,0.0163675,0.00108349,0.007577487,0.003946452,0.007222653,0.5081205],"study_design_scores_gemma":[0.001472924,0.09908928,0.7771906,0.005980806,0.002349642,0.005183388,0.03656935,0.003288076,0.01061482,0.007894129,0.05004539,0.0003215846],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530126,0.0238551,0.00392765,0.001620638,0.0006118516,0.001428482,0.0007800644,0.00004945484,0.01471407],"genre_scores_gemma":[0.9825909,0.006636527,0.005108025,0.001618038,0.0003656924,0.0007555384,0.0008563229,0.00004939792,0.002019597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01346648,"threshold_uncertainty_score":0.07121837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684053918996348,"score_gpt":0.2743850984675645,"score_spread":0.257544559277601,"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."}}