{"id":"W2611408562","doi":"10.1002/9781119421344.ch8","title":"Hospital‐Associated Infections","year":2016,"lang":"en","type":"other","venue":"","topic":"Surgical site infection prevention","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Medicine; Intensive care medicine; Isolation (microbiology); Infection control; Medical emergency; Emergency medicine; Bioinformatics","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":[0.0007281452,0.0005787241,0.0004221298,0.001444875,0.000699046,0.001122982,0.0006511968,0.0005728736,0.05315449],"category_scores_gemma":[0.004562104,0.0001015881,0.0005699655,0.001991168,0.0002925804,0.0005103883,0.00143674,0.001050471,0.008929608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008239367,"about_ca_system_score_gemma":0.00244074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004199002,"about_ca_topic_score_gemma":0.004860507,"domain_scores_codex":[0.9979995,0.0003416914,0.0003764033,0.0001644502,0.0007154445,0.0004024818],"domain_scores_gemma":[0.9966,0.0003990857,0.001081831,0.0001784657,0.0008050222,0.000935694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003358911,0.00051462,0.174047,0.003867332,0.0001881128,0.003004666,0.0005126811,0.0002954969,0.001220153,0.007538214,0.228563,0.579913],"study_design_scores_gemma":[0.00006743157,0.0005110217,0.237283,0.005163024,0.0001266942,0.0125462,0.001657544,0.0003385763,0.0009260598,0.003914027,0.7373944,0.00007213808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07477614,0.1321949,0.007462649,0.01027473,0.003930877,0.001916404,0.03247911,0.0008939526,0.7360712],"genre_scores_gemma":[0.6089123,0.1708515,0.007700216,0.01365298,0.00376917,0.00100811,0.04039886,0.000319354,0.1533875],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05315449,"threshold_uncertainty_score":0.1778195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006607383753549233,"score_gpt":0.2826253348475252,"score_spread":0.276017951093976,"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."}}