{"id":"W2229414573","doi":"10.1007/978-3-319-23201-0_10","title":"Data Warehouse Design Methods Review: Trends, Challenges and Future Directions for the Healthcare Domain","year":2015,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Computer science; Data warehouse; Traceability; Schema (genetic algorithms); Data integration; Data science; Information integration; Domain (mathematical analysis); Information retrieval; Software engineering; Database; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03936899,0.0009553727,0.00267802,0.007219911,0.0005621735,0.006814399,0.003698364,0.00173248,0.005243627],"category_scores_gemma":[0.07100154,0.001038146,0.002114397,0.01470429,0.001551955,0.007704763,0.002380185,0.004478084,0.002255562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002844702,"about_ca_system_score_gemma":0.0111188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004217206,"about_ca_topic_score_gemma":0.01175213,"domain_scores_codex":[0.9886494,0.004924643,0.001809852,0.0007036712,0.003694594,0.0002179487],"domain_scores_gemma":[0.8568592,0.1139437,0.003762832,0.002886715,0.02125155,0.001295959],"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":[0.00004770148,0.00006356095,0.0007104989,0.01950703,0.0003049829,0.00004123351,0.0003075555,0.000571759,0.0003289563,0.01758629,0.1307166,0.8298138],"study_design_scores_gemma":[0.00003487519,0.0000911756,0.0008802569,0.02277581,0.0003136932,0.0003166107,0.000317549,0.001228269,0.0004232472,0.02551382,0.9480385,0.00006610905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003109889,0.9690058,0.01651035,0.01024193,0.001728856,0.00006133186,0.0003881841,0.0001137839,0.001638618],"genre_scores_gemma":[0.002142993,0.9434825,0.04381238,0.006086787,0.001848044,0.0001671644,0.000719867,0.000136663,0.001603638],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03936899,"threshold_uncertainty_score":0.2082056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6732383815595341,"score_gpt":0.543693081677569,"score_spread":0.1295452998819651,"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."}}