{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.04644978,0.0001182982,0.0004115214,0.0008185544,0.0004475687,0.00002425432,0.0006179808,0.0003300481,0.001101988],"category_scores_gemma":[0.009983574,0.00008429257,0.0001067692,0.0004651574,0.00006293283,0.001236485,0.0002104428,0.002956352,0.0008635813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002368449,"about_ca_system_score_gemma":0.002885224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007369895,"about_ca_topic_score_gemma":0.00002149432,"domain_scores_codex":[0.9907089,0.002261488,0.001777557,0.0001033674,0.003908088,0.001240583],"domain_scores_gemma":[0.9856101,0.009085129,0.0007833631,0.0002336902,0.00318857,0.001099193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003282408,0.0003343712,0.005095711,0.004822696,0.0002913406,0.00006244922,0.01148067,9.058944e-7,0.00006456395,0.01024745,0.5897833,0.3745341],"study_design_scores_gemma":[0.002654993,0.0007481017,0.001941098,0.004545114,0.00001673142,0.00006855944,0.03909329,0.0002604779,0.00008724741,0.0001635554,0.9503333,0.00008751853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.448918,0.003539007,0.3733853,0.02773057,0.04136652,0.01239261,0.0001545644,0.0001666992,0.09234682],"genre_scores_gemma":[0.9939862,0.0003471658,0.001645354,0.0006997705,0.002627558,0.0002971155,0.000006144825,0.00002535659,0.000365373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5450682,"threshold_uncertainty_score":0.9999143,"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."}}