{"id":"W7123449452","doi":"10.48550/arxiv.2601.06051","title":"Digital health transformation in Quebec: assessment of interoperability and governance strategies","year":2025,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Cross-domain interoperability; Semantic interoperability; Health care; Information system; Digital transformation; Context (archaeology); Health informatics; Health information exchange; Information exchange","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":[0.004150582,0.0003011376,0.0002172969,0.003645921,0.003968455,0.006713848,0.001057017,0.0007894227,0.006023142],"category_scores_gemma":[0.01096516,0.0001274267,0.0004404931,0.006285138,0.002825223,0.002234643,0.002604628,0.0007801474,0.0002617864],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1668154,"about_ca_system_score_gemma":0.07965901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9835688,"about_ca_topic_score_gemma":0.9844466,"domain_scores_codex":[0.9965969,0.0008616045,0.0001110021,0.0002056706,0.001219612,0.001005273],"domain_scores_gemma":[0.9935125,0.001344666,0.0005803485,0.0002953327,0.003344467,0.0009226723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003198709,0.000325518,0.4969602,0.0003930915,0.0001671827,0.0007049302,0.02030373,0.007408654,0.0008249772,0.2040222,0.02646935,0.2421003],"study_design_scores_gemma":[0.00006022451,0.0001762863,0.7996445,0.0006248854,0.0001158077,0.0001639631,0.05926789,0.01819655,0.0005283746,0.007092373,0.1140499,0.0000792319],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6771256,0.003833943,0.002807184,0.0192348,0.00007620485,0.0008276665,0.003719798,0.0001193205,0.2922555],"genre_scores_gemma":[0.9907769,0.000786281,0.0009874945,0.0005445012,0.000007106824,0.00008424481,0.0007509672,0.00001036042,0.006052218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8331847,"threshold_uncertainty_score":0.9663761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07824279774855132,"score_gpt":0.3155975464054339,"score_spread":0.2373547486568826,"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."}}