{"id":"W7132062554","doi":"","title":"Ruijin Hospital: Embarking on a Smart Hospital Journey and Exploring a Digital Medicine Platform","year":2023,"lang":"en","type":"other","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Digitization; Digital transformation; Informatization; Leverage (statistics); Government (linguistics); Health care; Precision medicine","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":[0.001823723,0.000725836,0.0002577168,0.0008268215,0.0170005,0.009492163,0.001397793,0.004451795,0.009836077],"category_scores_gemma":[0.001690023,0.0003898591,0.0005277281,0.001617735,0.007981053,0.007697701,0.00948479,0.004561346,0.001799128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009398608,"about_ca_system_score_gemma":0.0193499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02933835,"about_ca_topic_score_gemma":0.05282937,"domain_scores_codex":[0.997137,0.0008491981,0.00005851464,0.0001794865,0.0004535021,0.001322444],"domain_scores_gemma":[0.9984634,0.000149359,0.0001272509,0.00005809312,0.0001007941,0.001101124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00015161,0.0002397987,0.02098307,0.0003963131,0.00003645558,0.03403334,0.197684,0.001356589,0.002633023,0.4741954,0.1801348,0.08815567],"study_design_scores_gemma":[0.00001973777,0.0001573429,0.004924224,0.0003404912,0.00002298543,0.006444934,0.1462903,0.0008415596,0.0008403122,0.01039666,0.8295962,0.0001252714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3086771,0.008132429,0.009742083,0.224133,0.003850275,0.0003328024,0.0002249527,0.0005095314,0.4443977],"genre_scores_gemma":[0.8702791,0.004694861,0.006143609,0.02894257,0.0006558459,0.0001742615,0.0001879248,0.0001611915,0.08876053],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02933835,"threshold_uncertainty_score":0.06819201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0472201330815142,"score_gpt":0.2561714241557985,"score_spread":0.2089512910742843,"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."}}