{"id":"W2508391307","doi":"10.20533/iji.1742.4712.2011.0054","title":"Tool Support and Data Management for Business Analytics Applications in Healthcare","year":2011,"lang":"en","type":"article","venue":"International Journal for Infonomics","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Analytics; Health care; Data analysis; Business intelligence; Business; Computer science; Business analytics; Data science; Knowledge management; Process management; Data mining; Business analysis; Business model; Marketing; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004475001,0.0001263847,0.0001388637,0.0003674079,0.000122249,0.0003425256,0.001044803,0.00005176494,0.00003687014],"category_scores_gemma":[0.00007390172,0.000121199,0.00003781745,0.0001706612,0.00003914852,0.0009951205,0.0004192194,0.00008971305,0.0000135883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006080642,"about_ca_system_score_gemma":0.00004303052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001601387,"about_ca_topic_score_gemma":0.0001794605,"domain_scores_codex":[0.9989659,0.000001765778,0.0004524747,0.0002475024,0.0001378379,0.0001945346],"domain_scores_gemma":[0.9988414,0.00003843977,0.0002708973,0.0002730032,0.0005605704,0.00001569364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004320919,0.0002211957,0.06933299,0.0004033536,0.0002292978,0.00001226926,0.00007015809,0.0001669712,0.000007587668,0.7101391,0.01014206,0.208843],"study_design_scores_gemma":[0.000914688,0.00001089338,0.03916043,0.00005862967,0.00007453941,0.00002774063,0.0002122994,0.01109262,0.00001162322,0.04443452,0.9037262,0.0002758484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1126595,0.0003394445,0.8360432,0.01616279,0.0103056,0.004857933,0.002288025,0.0001667616,0.01717671],"genre_scores_gemma":[0.9611842,0.0006579277,0.02667262,0.004594876,0.003080461,0.0002397216,0.002828338,0.00006388639,0.0006779617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8935841,"threshold_uncertainty_score":0.494235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1814895223257196,"score_gpt":0.3697557873724672,"score_spread":0.1882662650467476,"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."}}