{"id":"W3002332226","doi":"10.2345/0899-8205-54.1.72","title":"<i>Sterilization Central</i> : Working in Concert: Bridging Gaps between the HTM and Sterile Processing Departments","year":2020,"lang":"en","type":"article","venue":"Biomedical Instrumentation & Technology","topic":"Medical Device Sterilization and Disinfection","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fraser Health","funders":"","keywords":"Sterilization (economics); Bridging (networking); Business; Computer science; Computer security","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":[0.03022237,0.0009411321,0.0007127214,0.002046561,0.00968125,0.02068428,0.005773364,0.0124726,0.0497161],"category_scores_gemma":[0.02806109,0.001056331,0.0007369607,0.002186412,0.006793601,0.01349223,0.01643833,0.01610221,0.01477053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01373667,"about_ca_system_score_gemma":0.09368075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01498129,"about_ca_topic_score_gemma":0.0263739,"domain_scores_codex":[0.9737282,0.006912989,0.0015887,0.003118746,0.005609716,0.009041651],"domain_scores_gemma":[0.8471605,0.01703315,0.01274685,0.006035781,0.02867804,0.08834565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002831444,0.0005650866,0.01786147,0.0013159,0.00005670233,0.0006634344,0.005704952,0.0003519416,0.008015417,0.01888883,0.6997318,0.2465612],"study_design_scores_gemma":[0.00007420219,0.000393738,0.04584445,0.001989096,0.00005470919,0.001153853,0.02801749,0.0008765058,0.003835171,0.01854333,0.8990018,0.0002155951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01618377,0.007394143,0.01245088,0.9121228,0.01596073,0.0002272915,0.0002926703,0.002162167,0.0332054],"genre_scores_gemma":[0.2405506,0.008830343,0.04533485,0.6342463,0.0221939,0.000368789,0.001098858,0.00139695,0.04597945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0497161,"threshold_uncertainty_score":0.1663169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448970934316624,"score_gpt":0.2685885295515834,"score_spread":0.2440988202084172,"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."}}