{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005824957,0.0001613804,0.0002843796,0.0002019307,0.0005609674,0.00006390569,0.0002961846,0.0000646392,0.000002264032],"category_scores_gemma":[0.002064198,0.0001163494,0.00001775579,0.0005022571,0.0001910761,0.0002669316,0.000265397,0.00114957,0.000008594133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007331953,"about_ca_system_score_gemma":0.0002914369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001216838,"about_ca_topic_score_gemma":0.008927285,"domain_scores_codex":[0.9974763,0.0004875184,0.0005926709,0.0005080798,0.0002116527,0.0007237794],"domain_scores_gemma":[0.9963077,0.002856786,0.00006828643,0.0004156313,0.0001434476,0.0002081184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004864688,0.00005589326,0.4796596,0.0004430548,0.000004293098,0.000002152131,0.0109841,0.0004187893,0.00003894367,0.001971956,0.00014852,0.506224],"study_design_scores_gemma":[0.001169315,0.0003571863,0.6498914,0.002813684,0.000002177398,0.00001435381,0.001124142,0.317175,0.00001757726,0.0002947277,0.02671584,0.0004245618],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522535,0.0002707782,0.04101576,0.003855197,0.001878224,0.0006169131,9.019335e-7,0.00008741784,0.0000212829],"genre_scores_gemma":[0.9978498,0.0000717314,0.0006990859,0.001111393,0.0001217499,0.0001072129,4.797083e-7,0.00001211366,0.00002641866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5057994,"threshold_uncertainty_score":0.4994372,"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."}}