{"id":"W125089849","doi":"10.5220/0001431004160420","title":"CHANGING PERSPECTIVES ON INFORMATICS? - A Comparison of Three National Electronic Health Records","year":2009,"lang":"en","type":"article","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health informatics; Health care; Informatics; Context (archaeology); eHealth; Internet privacy; Citizen journalism; Medical record; Public relations; Knowledge management; Business; Medicine; Computer science; Political science; World Wide Web; Geography; Law","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":[0.0459638,0.0001950075,0.0007152219,0.004878417,0.005317005,0.01635977,0.002087368,0.00151297,0.005929995],"category_scores_gemma":[0.08071081,0.0003988388,0.001206472,0.01112758,0.005101081,0.01259578,0.0111245,0.002236014,0.0006517336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01722288,"about_ca_system_score_gemma":0.01869128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03626607,"about_ca_topic_score_gemma":0.03989049,"domain_scores_codex":[0.9543799,0.02150278,0.005885979,0.001440211,0.0133303,0.003460908],"domain_scores_gemma":[0.9285197,0.04065864,0.008377019,0.005978963,0.01166079,0.004804896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00140341,0.0004877718,0.1587872,0.0018392,0.0002211227,0.0005413331,0.4998391,0.0002694202,0.00111936,0.1192127,0.009839863,0.2064394],"study_design_scores_gemma":[0.0001206098,0.0003187663,0.301075,0.00146784,0.0001476219,0.0003848346,0.5786976,0.0002483651,0.0006040062,0.004127427,0.1127152,0.0000927524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7999392,0.005231525,0.00147115,0.02375339,0.0002858034,0.0004282298,0.001492429,0.00009093641,0.1673074],"genre_scores_gemma":[0.9855633,0.004056686,0.001914161,0.002795918,0.00004672657,0.0003818658,0.001318373,0.00004677579,0.003876205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0459638,"threshold_uncertainty_score":0.2430828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08212951182725506,"score_gpt":0.4716873379411747,"score_spread":0.3895578261139196,"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."}}