{"id":"W2140026384","doi":"10.2196/ijmr.2126","title":"DB4US: A Decision Support System for Laboratory Information Management","year":2012,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad; Universidad de Málaga","keywords":"Computer science; Data warehouse; Data science; Visualization; Automation; Dashboard; Decision support system; Data quality; User interface; Data mining; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00508444,0.001760455,0.001272756,0.003652718,0.0009973557,0.004433271,0.003964642,0.001634836,0.009488877],"category_scores_gemma":[0.008519363,0.001042722,0.0008266652,0.002265319,0.0009034421,0.003734817,0.003495193,0.001899328,0.005083164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172191,"about_ca_system_score_gemma":0.002318661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00485892,"about_ca_topic_score_gemma":0.001993112,"domain_scores_codex":[0.9961258,0.0008941299,0.0006231315,0.0006797646,0.001461451,0.0002157897],"domain_scores_gemma":[0.9939219,0.002214555,0.0006193371,0.001004067,0.00128463,0.0009556059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002637819,0.001323572,0.01478406,0.001971032,0.0005923421,0.001546148,0.00177252,0.03527081,0.03833864,0.02563256,0.2245223,0.6516082],"study_design_scores_gemma":[0.0008275089,0.0006317347,0.007392291,0.0005706519,0.0003017442,0.00108848,0.0004172761,0.5634416,0.06591295,0.03007839,0.3288882,0.0004492389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01878796,0.0006923512,0.6135417,0.001104468,0.0003183338,0.001052902,0.005956786,0.3515542,0.006991295],"genre_scores_gemma":[0.2050107,0.001141982,0.7471987,0.001854803,0.0003474069,0.001707954,0.02421458,0.007226956,0.01129689],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009488877,"threshold_uncertainty_score":0.03174347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1240632913753016,"score_gpt":0.5928856494635784,"score_spread":0.4688223580882768,"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."}}