{"id":"W2605297466","doi":"10.3233/978-1-61499-742-9-222","title":"Digital Health Services and Digital Identity in Alberta","year":2017,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Alberta","funders":"","keywords":"Government (linguistics); Identity (music); Business; Health care; Christian ministry; Medical record; Internet privacy; Service (business); Political science; Medicine; Computer science; Radiology; Law","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":[0.001628389,0.0001717066,0.0002241412,0.002254095,0.01122435,0.01069116,0.001394264,0.001693949,0.03136905],"category_scores_gemma":[0.00505537,0.0002014623,0.0002860509,0.004801716,0.009945185,0.003309518,0.006955227,0.002559001,0.001092258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07109943,"about_ca_system_score_gemma":0.09500259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9168718,"about_ca_topic_score_gemma":0.9261121,"domain_scores_codex":[0.9971067,0.000499039,0.00006757217,0.0001674681,0.0009692241,0.00119009],"domain_scores_gemma":[0.9962968,0.0008146198,0.0002595014,0.0001269581,0.0007808013,0.001721321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004935647,0.00008424862,0.01515143,0.00008438749,0.000009410043,0.0009546815,0.009798461,0.0004206201,0.00009952934,0.8418045,0.0460347,0.08550864],"study_design_scores_gemma":[0.00003708743,0.00004850157,0.04906603,0.0006788116,0.00002395687,0.0006299758,0.0441926,0.001032795,0.0002045641,0.07089885,0.8331188,0.00006809268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08251086,0.00816917,0.0009700912,0.1059419,0.0005678748,0.00007130633,0.0003729083,0.00008142406,0.8013145],"genre_scores_gemma":[0.8498737,0.01019443,0.001316943,0.01010426,0.000190526,0.00003543709,0.0002936456,0.00004368099,0.1279475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08312815,"threshold_uncertainty_score":0.5158648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05387977941621487,"score_gpt":0.4650099257666995,"score_spread":0.4111301463504846,"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."}}