{"id":"W2210681107","doi":"","title":"The 6th workshop on interoperability and smart interactions in healthcare: interoperability in context","year":2014,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Ottawa","funders":"","keywords":"Interoperability; Health care; Context (archaeology); Key (lock); Business; Order (exchange); Knowledge management; Value (mathematics); Computer science; Public relations; World Wide Web; Political science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01240792,0.001825113,0.001396188,0.002038223,0.003292546,0.009841712,0.002908581,0.006874441,0.01934451],"category_scores_gemma":[0.007927982,0.000795535,0.001839022,0.001695613,0.005031869,0.009313629,0.009655619,0.01019211,0.00452094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005084485,"about_ca_system_score_gemma":0.008897304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008740586,"about_ca_topic_score_gemma":0.01668768,"domain_scores_codex":[0.9910703,0.004277078,0.000352175,0.001102971,0.00199337,0.00120416],"domain_scores_gemma":[0.993622,0.002703419,0.0001321477,0.0005912516,0.001251763,0.001699416],"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":[0.0004521325,0.0004641138,0.001029274,0.001315915,0.0001177836,0.000900688,0.01376534,0.002089137,0.00586849,0.1606935,0.4878447,0.325459],"study_design_scores_gemma":[0.00003175831,0.0001085808,0.0006235825,0.0008586734,0.00002853225,0.0002197042,0.002212303,0.001485138,0.002303223,0.023937,0.9681387,0.00005286033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01948242,0.118511,0.2840486,0.2534061,0.1224591,0.001540025,0.001409337,0.001122385,0.198021],"genre_scores_gemma":[0.2375132,0.07689071,0.1640632,0.0403217,0.04563298,0.001662948,0.003439403,0.001664942,0.428811],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01934451,"threshold_uncertainty_score":0.06562018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03597978639735384,"score_gpt":0.3561238878520124,"score_spread":0.3201441014546585,"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."}}