{"id":"W4286814915","doi":"10.32370/ia_2019_01_si_1","title":"Digital Transformation of Healthcare","year":2019,"lang":"en","type":"article","venue":"Intellectual Archive","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Transformation (genetics); Digital transformation; Computer science; Business; Political science; World Wide Web; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009292693,0.00004216013,0.00008994121,0.00005491311,0.00006432833,0.00001463668,0.0001558238,0.00004358298,0.0008474339],"category_scores_gemma":[0.0001768278,0.00003638402,0.00003589947,0.00008980792,0.0001633433,0.000118133,0.00002215039,0.00008548477,0.0005403548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003103883,"about_ca_system_score_gemma":0.00007249363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001191742,"about_ca_topic_score_gemma":0.00008383417,"domain_scores_codex":[0.9995202,0.00002308356,0.0001523019,0.00008534485,0.00008720001,0.000131863],"domain_scores_gemma":[0.9995857,0.0002666974,0.00003610558,0.00005865117,0.00001714569,0.00003573537],"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":[0.0000348712,0.00003552034,0.003518421,0.00001830952,0.00001843466,3.550705e-7,0.08028542,0.00000306617,0.00005350661,0.6613778,0.0007461573,0.2539081],"study_design_scores_gemma":[0.0003552269,0.0003172497,0.003038315,0.00007650712,0.000003487001,0.000001571832,0.02640436,0.0001782043,0.001723536,0.230392,0.7372446,0.0002649424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3816956,0.00001579499,0.001770166,0.001212457,0.000111325,0.0001704583,0.00001626532,0.00005217701,0.6149558],"genre_scores_gemma":[0.9975955,0.00005391801,0.0002959858,0.00006684257,0.00001264641,0.000003180523,0.000007627674,0.000002636688,0.001961683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7364985,"threshold_uncertainty_score":0.9278807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984297461554074,"score_gpt":0.2698234782742012,"score_spread":0.2499805036586604,"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."}}