{"id":"W3044888083","doi":"10.2196/15918","title":"Enabling Agile Clinical and Translational Data Warehousing: Platform Development and Evaluation","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Computer science; Data warehouse; Workflow; Data science; Cloud computing; Data management; Agile software development; Pipeline (software); Software engineering; Database","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":[0.02578999,0.001215352,0.0003710878,0.001219376,0.0008454364,0.003428159,0.002381978,0.001343131,0.002331452],"category_scores_gemma":[0.02620899,0.0005888568,0.0007214129,0.001154294,0.001309116,0.004468373,0.006258542,0.002088481,0.0008991851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474888,"about_ca_system_score_gemma":0.006278798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002930086,"about_ca_topic_score_gemma":0.002028159,"domain_scores_codex":[0.9892058,0.004767196,0.0007257091,0.0007628612,0.003246441,0.001291953],"domain_scores_gemma":[0.9768654,0.008865121,0.001511305,0.004671494,0.006003205,0.002083477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00489598,0.00659197,0.03590039,0.003954173,0.0004433203,0.001045268,0.004568986,0.1199394,0.07911824,0.0314287,0.01727349,0.69484],"study_design_scores_gemma":[0.00322466,0.01487464,0.04179876,0.001865641,0.0006444014,0.000984728,0.005910791,0.6463393,0.1842569,0.03192569,0.06770603,0.0004684844],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.657735,0.001258763,0.3157081,0.002388831,0.0002930838,0.006330133,0.001221483,0.005902931,0.009161618],"genre_scores_gemma":[0.5142292,0.0008554806,0.4791658,0.0002883617,0.00004408215,0.001880361,0.002252946,0.0004091591,0.0008745917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02578999,"threshold_uncertainty_score":0.1363921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4092717384045975,"score_gpt":0.5452410143602663,"score_spread":0.1359692759556688,"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."}}