{"id":"W420684695","doi":"","title":"THE MULTI-LEVEL IMPACT OF CLINICAL DECISION SUPPORT SYSTEM: A FRAMEWORK AND A CALL FOR MIXED METHODS EVALUATION","year":2014,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Clinical decision support system; Computer science; Decision support system; Task (project management); Psychological intervention; Healthcare system; Health care; Randomized controlled trial; Quality (philosophy); Knowledge management; Medicine; Data mining; Nursing; Engineering","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7076133,0.006085791,0.01124232,0.01882984,0.006463787,0.02017966,0.009285056,0.008267089,0.005335441],"category_scores_gemma":[0.5687702,0.002469632,0.01490117,0.01101205,0.02257466,0.02069917,0.01681989,0.009775997,0.0004637818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03274055,"about_ca_system_score_gemma":0.04058559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006022074,"about_ca_topic_score_gemma":0.006152021,"domain_scores_codex":[0.1446351,0.7706542,0.03010121,0.008885567,0.04359319,0.002130708],"domain_scores_gemma":[0.2658909,0.6547806,0.02705792,0.02798045,0.0215854,0.002704642],"domain_codex":"methods","domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003887543,0.003088444,0.02327905,0.04668204,0.01621762,0.0002331026,0.009656289,0.01829889,0.001042586,0.5230948,0.004183086,0.3503366],"study_design_scores_gemma":[0.00617416,0.01938029,0.01728409,0.05443996,0.01627131,0.000338288,0.009097659,0.09261834,0.005856031,0.7475271,0.02993162,0.001081204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02458977,0.02619446,0.8197653,0.03562186,0.00208511,0.07580306,0.001212047,0.0004287319,0.01429956],"genre_scores_gemma":[0.1411746,0.002682716,0.7408044,0.003484438,0.0003331037,0.1108608,0.0002107465,0.00007476918,0.0003744461],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2923867,"threshold_uncertainty_score":0.3605649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1803975651686834,"score_gpt":0.5887664315622565,"score_spread":0.4083688663935732,"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."}}