{"id":"W82002551","doi":"10.3233/978-1-60750-588-4-213","title":"Determinants of Clinical Information System Post-Adoption Success","year":2010,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Usability; Psychology; Nursing; Information system; Technology acceptance model; Healthcare system; Health information technology; Health care; Perception; Family medicine; Medicine; Computer science","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":[0.007468041,0.0002144742,0.0002212233,0.0008721622,0.0004135347,0.001180894,0.0003312748,0.0004944298,0.002671561],"category_scores_gemma":[0.0602975,0.0001856166,0.0004470729,0.0008912754,0.0005003733,0.0009612577,0.0005960279,0.001001375,0.0004031916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005826306,"about_ca_system_score_gemma":0.001286326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003927014,"about_ca_topic_score_gemma":0.00395599,"domain_scores_codex":[0.9941267,0.002227749,0.0007458378,0.0002573497,0.001847443,0.000794908],"domain_scores_gemma":[0.8951709,0.06150049,0.02360738,0.002563702,0.01073302,0.006424429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006620817,0.0001897946,0.9939291,0.000015551,0.00002702154,0.00005752864,0.0005941324,0.0001020556,0.0001420497,0.00005705052,0.00007453796,0.004744937],"study_design_scores_gemma":[0.000003078438,0.0002890147,0.9981388,0.00000983586,0.00000813942,0.00008096697,0.0006378496,0.000492201,0.0001786889,0.00002695289,0.0001290055,0.000005502892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990346,0.00005975859,0.0001486041,0.0001768683,0.000002253418,0.00001918616,0.00003925427,0.000004733481,0.0005147611],"genre_scores_gemma":[0.9997007,0.00002855596,0.00009129143,0.00001758428,0.000003607651,0.000009098787,0.00004251828,0.000001935393,0.0001048018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007468041,"threshold_uncertainty_score":0.03949529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09525289107188227,"score_gpt":0.518738829724351,"score_spread":0.4234859386524688,"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."}}