{"id":"W3030366977","doi":"10.3760/cma.j.issn.1672-7088.2018.23.013","title":"Study on the efficiency of nursing service and the allocation of human resources in blood collection center based on visiting volume","year":2018,"lang":"en","type":"article","venue":"The Journal of practical nursing","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Morning; Quarter (Canadian coin); Medicine; Service (business); Workload; Blood collection; Nursing; Work (physics); Thursday; Evening; Human resources; Duration (music); Operations management; Emergency medicine; Business; Computer science; Internal medicine; Geography; Engineering","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":[0.002946488,0.0003828174,0.000384809,0.001767726,0.0003388555,0.001186656,0.0006928988,0.00038614,0.001835909],"category_scores_gemma":[0.01169486,0.0002269726,0.0008332839,0.002134918,0.0004605401,0.001268659,0.0006454416,0.0004124807,0.0003287842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498571,"about_ca_system_score_gemma":0.00135543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007640572,"about_ca_topic_score_gemma":0.004451823,"domain_scores_codex":[0.9952642,0.001284128,0.0005411953,0.0009014811,0.001511892,0.0004972109],"domain_scores_gemma":[0.9924855,0.003228063,0.001911091,0.0004228163,0.001496691,0.0004559351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003642222,0.000158037,0.9452727,0.000194122,0.0003554316,0.0001391493,0.000693757,0.01190608,0.001349383,0.00228838,0.0009673389,0.03631145],"study_design_scores_gemma":[0.00001387986,0.0003930851,0.9634022,0.00005353269,0.0001359286,0.000241794,0.001084066,0.02994791,0.001146595,0.001308277,0.002235668,0.00003704564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727319,0.001118471,0.02061989,0.0002551229,0.00006409021,0.0001219455,0.0008867197,0.00004684698,0.004154884],"genre_scores_gemma":[0.9964997,0.0002684121,0.001894208,0.00003441525,0.00003321996,0.00005661629,0.0004576031,0.00001652793,0.000739252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007640572,"threshold_uncertainty_score":0.01558268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03343937496805295,"score_gpt":0.3149947534342519,"score_spread":0.2815553784661989,"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."}}