{"id":"W2117372155","doi":"10.4067/s0718-18762010000100006","title":"Policy-based Data Integration for e-Health Monitoring Processes in a B2B Environment: Experiences from Canada","year":2010,"lang":"en","type":"article","venue":"Journal of theoretical and applied electronic commerce research","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Champlain Local Health Integration Network","keywords":"Computer science; Health data; Process management; Data integration; Data science; Business; Knowledge management; Data mining; Environmental resource management; Health care; Environmental science; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001895626,0.0001179819,0.0002657392,0.0002833691,0.0002346372,0.0002018605,0.000601432,0.00005417676,0.00003678196],"category_scores_gemma":[0.0005003837,0.00008821201,0.00002346608,0.0005085713,0.0002123581,0.0002592975,0.0001553299,0.0007328549,6.836231e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009496148,"about_ca_system_score_gemma":0.001201215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03301913,"about_ca_topic_score_gemma":0.02489693,"domain_scores_codex":[0.9983688,0.00002124527,0.0003700639,0.0002401621,0.0005092219,0.0004905366],"domain_scores_gemma":[0.9990261,0.0003795559,0.0001731794,0.0002216187,0.0001579673,0.00004153842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002555038,0.001181545,0.008823492,0.00155818,0.0001931939,0.000009753598,0.001706735,0.001436706,0.0210756,0.5067625,0.001408676,0.4532886],"study_design_scores_gemma":[0.006377996,0.0003288622,0.00431034,0.00106742,0.0002029081,0.00001147567,0.0216261,0.2148962,0.01164217,0.7082313,0.02995945,0.001345761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688905,0.0004499707,0.00736272,0.0228973,0.00004923657,0.000178549,0.000006047038,0.000007264573,0.0001583652],"genre_scores_gemma":[0.9981896,0.000168538,0.0003674177,0.000333474,0.0008734251,0.00002827595,0.00002238248,0.00001348675,0.000003383367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4519428,"threshold_uncertainty_score":0.9928961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03788387187747587,"score_gpt":0.3388669290185363,"score_spread":0.3009830571410604,"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."}}