{"id":"W6997863616","doi":"","title":"�슦由щ굹�씪 醫낇빀蹂묒썝�뿉�꽌 �씤�젰, 湲곌뎄�� �솢�룞�쓣 以묒떖�쑝濡� �븳 媛먯뿼愿�由ъ쓽 �떎�긽","year":2015,"lang":"en","type":"article","venue":"YUHSpace (Yonsei University Medical Library)","topic":"Infection Control in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infection control; Acute care; Standardization; Health care; MEDLINE; Disease control; Promotion (chess); Control (management)","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":[0.002476905,0.0002611599,0.0001695827,0.0008952137,0.0006619645,0.001321273,0.0007288363,0.0005608126,0.007792289],"category_scores_gemma":[0.00843234,0.0002137791,0.0001843627,0.001313497,0.0008552558,0.001240661,0.0006278806,0.0005810296,0.001485218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000969025,"about_ca_system_score_gemma":0.002113614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004664881,"about_ca_topic_score_gemma":0.007352369,"domain_scores_codex":[0.9966606,0.0009768674,0.0005271599,0.0004039746,0.000894193,0.0005371938],"domain_scores_gemma":[0.9880409,0.003192893,0.005003949,0.0003179583,0.001989419,0.001454865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001754497,0.0004098196,0.9758627,0.0004974635,0.00002686718,0.0001766243,0.0008297288,0.00004097787,0.0001972415,0.0001721962,0.002619842,0.01899104],"study_design_scores_gemma":[0.00003044428,0.0007027569,0.9838086,0.0004093959,0.0000455509,0.001305925,0.003955444,0.000158384,0.000583314,0.0001728946,0.008810526,0.00001676408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842927,0.003026442,0.0005624234,0.002173444,0.0001182984,0.0003216254,0.001545775,0.00001400929,0.007945391],"genre_scores_gemma":[0.9911727,0.002245607,0.00123559,0.001180338,0.0002821655,0.0003196034,0.001264233,0.000007122489,0.002292627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007792289,"threshold_uncertainty_score":0.02606779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005533144591109,"score_gpt":0.254356994299473,"score_spread":0.2243016628535619,"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."}}