{"id":"W2480905695","doi":"10.4018/978-1-60566-988-5.ch124","title":"An Exploration of Demographic Inconsistencies in Healthcare Information Environments","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agfa-Gevaert (Canada); Athabasca University","funders":"","keywords":"XML; Section (typography); Protocol (science); Computer science; Provisioning; Health care; Information system; Data science; World Wide Web; Medicine; Telecommunications; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004253761,0.0002574253,0.000328505,0.003087915,0.002475158,0.006152514,0.001355608,0.0009699456,0.006292824],"category_scores_gemma":[0.01079473,0.0003209154,0.0003182276,0.006736542,0.002781804,0.009359834,0.003185471,0.001538526,0.0006367897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003190273,"about_ca_system_score_gemma":0.002460011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002953697,"about_ca_topic_score_gemma":0.004462762,"domain_scores_codex":[0.9970177,0.001854478,0.0001090486,0.0002122438,0.0006677003,0.000138715],"domain_scores_gemma":[0.9912259,0.006902049,0.0007098571,0.0003736661,0.0006609776,0.0001275922],"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":[0.00003649479,0.00005018192,0.01139644,0.0002108248,0.00001218723,0.0009515961,0.04398915,0.001482302,0.0002169287,0.7750997,0.01477458,0.1517796],"study_design_scores_gemma":[0.00001210024,0.00006764052,0.01464355,0.0009724656,0.00003338806,0.002965226,0.1063444,0.007698032,0.0007492648,0.319688,0.5467629,0.00006292985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2614272,0.02887269,0.07994597,0.05587431,0.0008363753,0.0002477882,0.001483604,0.0004605672,0.5708516],"genre_scores_gemma":[0.8883457,0.01748141,0.05316553,0.003711566,0.0004490196,0.0001906014,0.001202751,0.0002952534,0.03515813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006292824,"threshold_uncertainty_score":0.02314723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08625695470709407,"score_gpt":0.3593946693643641,"score_spread":0.27313771465727,"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."}}