{"id":"W7124117538","doi":"","title":"Digital health transformation in Quebec: assessment of interoperability and governance strategies","year":2025,"lang":"","type":"article","venue":"ArXiv.org","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":[0.004593682,0.0003258087,0.0002488294,0.004136682,0.004050562,0.007455451,0.001144449,0.0008472303,0.006128148],"category_scores_gemma":[0.01201399,0.0001419733,0.0004853323,0.007142377,0.00326751,0.002537821,0.002821448,0.0008066192,0.0002677556],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1782872,"about_ca_system_score_gemma":0.08271474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9828097,"about_ca_topic_score_gemma":0.9826627,"domain_scores_codex":[0.9962489,0.0009614647,0.0001204236,0.0002272293,0.001334929,0.001107121],"domain_scores_gemma":[0.9924828,0.001628662,0.0006685074,0.0003642731,0.00381993,0.001035778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003332193,0.0003153943,0.4885703,0.0004161452,0.0001842845,0.0006941497,0.02069752,0.008075772,0.0008563421,0.2303884,0.02551041,0.223958],"study_design_scores_gemma":[0.00006506532,0.0001835818,0.791234,0.0006490614,0.0001304482,0.0001672359,0.06025269,0.02037656,0.0005655704,0.00838656,0.1179041,0.00008518868],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6805254,0.003999038,0.003026051,0.01898689,0.00007459041,0.0007889757,0.003782301,0.0001286449,0.2886882],"genre_scores_gemma":[0.9912793,0.0007719107,0.000991749,0.0004878039,0.000007181754,0.00007671986,0.0007718017,0.00001145311,0.005602084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8217128,"threshold_uncertainty_score":0.9530703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05033308651658565,"score_gpt":0.4233775477568558,"score_spread":0.3730444612402701,"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."}}