{"id":"W3030448533","doi":"10.3760/cma.j.issn.1674-2907.2014.10.020","title":"Comparison of target monitoring of nosocomial infection in intensive care units among different classes of hospitals in Jiangsu province","year":2014,"lang":"en","type":"article","venue":"Zhonghua xiandai huli zazhi","topic":"Nosocomial Infections in ICU","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Infection control; Emergency medicine; Incidence (geometry); Christian ministry; Quarter (Canadian coin); Pneumonia; Intensive care; Ventilator-associated pneumonia; Infection rate; Intensive care unit; Intensive care medicine; Internal medicine; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001965873,0.0004165884,0.0004235142,0.000967857,0.000548657,0.0005626624,0.0005332657,0.0003198561,0.0006541574],"category_scores_gemma":[0.004826858,0.0002426582,0.0006332325,0.0009874696,0.0003934668,0.0005580715,0.0007957174,0.0003961695,0.00006155919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482496,"about_ca_system_score_gemma":0.002032563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04918331,"about_ca_topic_score_gemma":0.05593243,"domain_scores_codex":[0.9979706,0.0005745052,0.000207298,0.0003692447,0.0004090313,0.0004693764],"domain_scores_gemma":[0.9959807,0.0006396255,0.00165359,0.0001850293,0.0007708414,0.0007702013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001815005,0.00006016215,0.9931909,0.00004035281,0.00007273778,0.00004770342,0.0004063177,0.0001758353,0.0002688719,0.00002865948,0.0001829795,0.005344033],"study_design_scores_gemma":[0.00000444507,0.00009990271,0.999113,0.000007015355,0.00001490366,0.00002275573,0.000332676,0.0002555888,0.00006383823,0.000008652634,0.00007460677,0.000002661997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992306,0.0001805949,0.0001492759,0.00008100917,0.000009205143,0.00001046365,0.00009138619,0.000005576348,0.0002419601],"genre_scores_gemma":[0.9995864,0.00006037559,0.00007152501,0.00002534238,0.000005906522,0.00001295889,0.0001439515,0.000001711431,0.00009187812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04918331,"threshold_uncertainty_score":0.09779406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405749565083636,"score_gpt":0.3242577306174213,"score_spread":0.3002002349665849,"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."}}