{"id":"W3024166443","doi":"10.3233/978-1-61499-753-5-579","title":"Evidence for Busines Intelligence in Health Care: A Literature Review","year":2017,"lang":"en","type":"review","venue":"Studies in health technology and informatics","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Categorization; Health care; Systematic review; Psychology; Knowledge management; Business intelligence; Management science; Applied psychology; MEDLINE; Computer science; Political science; Engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002236562,0.0006032232,0.003041777,0.001931371,0.0005431038,0.0001590399,0.001128887,0.0004926301,0.000004347045],"category_scores_gemma":[0.004933408,0.0004608069,0.0001350446,0.002532963,0.0005869337,0.001648704,0.001037623,0.0009740589,0.00002527201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000273457,"about_ca_system_score_gemma":0.0004419726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007621358,"about_ca_topic_score_gemma":0.0003390162,"domain_scores_codex":[0.9956856,0.00003156846,0.002910429,0.0004203693,0.0001946263,0.0007574174],"domain_scores_gemma":[0.9954798,0.0003305527,0.002804699,0.0009121732,0.0004528385,0.00001992619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003445272,0.000009264092,0.00002586922,0.4395692,0.00001456729,0.000002432114,0.0001811898,2.695574e-7,1.096071e-10,0.00559551,0.002554869,0.5520434],"study_design_scores_gemma":[0.00004802343,0.00002543203,0.000002926555,0.3957078,0.0000334543,0.00002099427,0.0004582173,0.00002903292,7.871136e-9,0.0009196432,0.6025274,0.0002270522],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.17681e-7,0.9901773,0.0003138537,0.005158019,0.0008941729,0.003196633,0.00003693053,0.00009649167,0.0001261703],"genre_scores_gemma":[0.000006957812,0.993436,0.001716726,0.003670425,0.0002251054,0.00074581,0.0001295659,0.00002877691,0.00004063577],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5999725,"threshold_uncertainty_score":0.9997844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4076426890570077,"score_gpt":0.5129547954031419,"score_spread":0.1053121063461342,"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."}}