{"id":"W7007435925","doi":"","title":"諛깊삁援ъ뿰痢듬쾿�쑝濡� 遺꾨━ �젣議고븳 �냽異뺤쟻�삁援�, �샎�빀�삁�냼�뙋 諛� �룞寃고삁�옣 �젣�젣�쓽 �뭹吏� �룊媛�","year":2015,"lang":"en","type":"article","venue":"YUHSpace (Yonsei University Medical Library)","topic":"Blood transfusion and management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Buffy coat; Blood component; Platelet; Platelet concentrate; Whole blood; Hemoglobin; Blood product; Apheresis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001246136,0.0004572179,0.0002306037,0.001094405,0.0004568048,0.0009988296,0.0003870147,0.0002569217,0.003964887],"category_scores_gemma":[0.001337577,0.0001514313,0.0003028157,0.0008217291,0.0004968714,0.0005638489,0.0003811307,0.0003626305,0.0009389767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004932852,"about_ca_system_score_gemma":0.0009477576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985348,"about_ca_topic_score_gemma":0.001427363,"domain_scores_codex":[0.998731,0.0002114896,0.0001587094,0.0002608011,0.0005143215,0.0001237342],"domain_scores_gemma":[0.9988523,0.000147366,0.0003636248,0.00007639782,0.0004590707,0.0001012956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001517675,0.0007892965,0.4446254,0.001541311,0.0002266199,0.0007497005,0.0008774056,0.0009059074,0.2417691,0.001253561,0.003735037,0.3020089],"study_design_scores_gemma":[0.0001414243,0.003181011,0.5981411,0.0002722494,0.000561811,0.00606593,0.001136649,0.003240305,0.3320188,0.001127454,0.05400823,0.000105018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9736422,0.008839039,0.008673004,0.0005213819,0.00007831727,0.0002056711,0.0007685985,0.0001247081,0.007147065],"genre_scores_gemma":[0.9736843,0.003845555,0.01671809,0.0003060012,0.00007052877,0.0001033842,0.001594994,0.00004682189,0.003630316],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9960351,"threshold_uncertainty_score":0.01326394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020578679317551,"score_gpt":0.2129511931946787,"score_spread":0.1927454064015032,"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."}}