{"id":"W2474544103","doi":"10.18260/p.26272","title":"Architectural Evaluation of Master Data Management (MDM): Literature Review","year":2016,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"St. Jude Medical; American Society for Engineering Education","keywords":"Computer science; Notation; Master data; Process (computing); Qualitative property; Quantitative analysis (chemistry); Software engineering; Data science; Business process; Management science; Process management; Knowledge management; Engineering; Data mining; Work in process; Operations management; Programming language","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":[0.01889399,0.000953564,0.001699487,0.01204956,0.0009223845,0.004398697,0.002302106,0.00170934,0.003382791],"category_scores_gemma":[0.08002782,0.000832837,0.001546254,0.01169252,0.001937494,0.004543184,0.001387478,0.0009762518,0.0004860795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004880292,"about_ca_system_score_gemma":0.007248548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006281872,"about_ca_topic_score_gemma":0.01151183,"domain_scores_codex":[0.9814996,0.008098455,0.00320411,0.001042317,0.005713718,0.0004417238],"domain_scores_gemma":[0.8194346,0.1422569,0.01262858,0.002944982,0.02188137,0.0008535174],"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":[0.0002853696,0.0002932155,0.009630138,0.09288839,0.0006426428,0.0001183629,0.00093368,0.001388039,0.0003605063,0.005559524,0.007417532,0.8804826],"study_design_scores_gemma":[0.0001485044,0.001672673,0.0737281,0.4833775,0.007211475,0.00193183,0.01309771,0.007828307,0.004085064,0.01152724,0.3951041,0.0002874788],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008465049,0.9825798,0.002081799,0.001556509,0.0001864296,0.0001891863,0.0001479263,0.0000267318,0.004766495],"genre_scores_gemma":[0.1503004,0.8381599,0.009241633,0.0007991673,0.0003467436,0.0002708554,0.0003654363,0.00003135154,0.0004844487],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01889399,"threshold_uncertainty_score":0.09992212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5556549298580707,"score_gpt":0.5130888725810021,"score_spread":0.04256605727706864,"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."}}