{"id":"W787986","doi":"10.1073/pnas.73.9.3156","title":"THE ROLE OF WORKAROUNDS DURING AN OPENSOURCE ELECTRONIC MEDICAL RECORD SYSTEM IMPLEMENTATION","year":2010,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Workaround; Appropriation; Process (computing); Electronic medical record; Perspective (graphical); Computer science; Knowledge management; Internet privacy","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":[0.02583019,0.0008888863,0.0005035232,0.001646055,0.001778546,0.007337608,0.002357459,0.001692495,0.005735128],"category_scores_gemma":[0.09752826,0.0008247886,0.000543531,0.001068097,0.001407454,0.004895407,0.003419373,0.00172014,0.001169689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00241599,"about_ca_system_score_gemma":0.005912405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153418,"about_ca_topic_score_gemma":0.001979027,"domain_scores_codex":[0.9638903,0.02075684,0.002068087,0.00323286,0.005663849,0.004388019],"domain_scores_gemma":[0.8679315,0.07344154,0.02322264,0.01088977,0.01189953,0.012615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00472943,0.003343806,0.2703739,0.0009606518,0.0003437078,0.002349196,0.02134188,0.0112102,0.03550177,0.02066028,0.00609711,0.6230881],"study_design_scores_gemma":[0.0008225837,0.01362642,0.5710939,0.001196031,0.0006249013,0.003266419,0.09195209,0.1563377,0.07584789,0.02549849,0.05878528,0.00094836],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961225,0.0003077122,0.02262956,0.00271591,0.0002031642,0.0002841323,0.0000981637,0.001879108,0.01065721],"genre_scores_gemma":[0.9915155,0.00004502748,0.006791054,0.00009725583,0.00002965276,0.00007387546,0.00008004352,0.00008491838,0.001282707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02583019,"threshold_uncertainty_score":0.1366048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322781569352192,"score_gpt":0.424152398732503,"score_spread":0.3918742417972838,"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."}}