{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003244717,0.0009467144,0.0008594253,0.001228764,0.0006625131,0.0002962672,0.0005007345,0.0005328145,0.0001227427],"category_scores_gemma":[0.0007922098,0.000868455,0.0002388456,0.0005142094,0.001439204,0.0009262578,0.0003211267,0.0009982359,0.00193238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111839,"about_ca_system_score_gemma":0.000501966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003437393,"about_ca_topic_score_gemma":0.00005646458,"domain_scores_codex":[0.9954739,0.00003449405,0.0007946967,0.001244444,0.001698115,0.0007544131],"domain_scores_gemma":[0.9977679,0.0002153054,0.0006409497,0.0007346375,0.0001304175,0.0005107612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000298188,0.001017059,0.009411836,0.0006659965,0.002143687,0.009685213,0.002925357,0.0001433032,0.0004350877,0.05536048,0.9087285,0.009185301],"study_design_scores_gemma":[0.001933542,0.0008210228,0.007813751,0.008575233,0.0001868241,0.0005110365,0.0006071175,0.00006144525,0.0001081509,0.0003926996,0.9774233,0.001565883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03647055,0.002246735,0.00003877394,0.0001660452,0.01299411,0.0009466087,0.0003058364,0.003068777,0.9437625],"genre_scores_gemma":[0.7064124,0.0005851284,0.0001568093,0.0000993099,0.0105369,0.000569428,0.0003654925,0.004099203,0.2771753],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6699418,"threshold_uncertainty_score":0.9993766,"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."}}