{"id":"W2414094035","doi":"10.1055/s-0038-1638825","title":"Looking for the Evidence: Value of Health Informatics. Editorial","year":2013,"lang":"en","type":"article","venue":"Yearbook of Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Heidelberg; McMaster University","keywords":"Yearbook; Health informatics; Health care; Health Administration Informatics; Informatics; Unintended consequences; Health information technology; Information technology; Quality (philosophy); Work (physics); Medicine; Computer science; Public relations; Knowledge management; Data science; Political science; Engineering; Library science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01307879,0.000161494,0.0006600231,0.0001130457,0.0003668247,0.00001079406,0.0007801195,0.000469341,0.0004511654],"category_scores_gemma":[0.004494478,0.0001021195,0.0001178909,0.0002019876,0.000199663,0.0003891716,0.0001947688,0.001068711,0.0001946784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560869,"about_ca_system_score_gemma":0.005338605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001943886,"about_ca_topic_score_gemma":0.00004058154,"domain_scores_codex":[0.9924091,0.0003591365,0.004328864,0.00006276803,0.002030982,0.0008091122],"domain_scores_gemma":[0.9902769,0.005998998,0.002339837,0.0005137363,0.0005604707,0.0003100838],"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":[0.00004293319,0.00005695264,0.001350951,0.01668221,0.0001122742,5.484296e-8,0.04682849,0.00004074073,0.000007250852,0.01387978,0.8526331,0.0683653],"study_design_scores_gemma":[0.003721302,0.001219498,0.0008499675,0.01324632,0.00006421089,0.000004676946,0.04292791,0.1435636,0.00006790015,0.002016721,0.7919557,0.0003621642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1552405,0.01292216,0.4341646,0.07239847,0.2394633,0.05399173,0.0001668721,0.0007315942,0.03092085],"genre_scores_gemma":[0.7279063,0.01476797,0.06115199,0.04646524,0.1373804,0.007644756,0.0001322565,0.0003738354,0.004177247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5726658,"threshold_uncertainty_score":0.9470457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07501501282988732,"score_gpt":0.4604175937652007,"score_spread":0.3854025809353134,"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."}}