{"id":"W4212868329","doi":"10.1051/itmconf/20224105002","title":"From Customer Data to Smart Customer Data: The Smart Data Transformation Process","year":2022,"lang":"en","type":"article","venue":"ITM Web of Conferences","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Process (computing); Business process; Dimension (graph theory); Service (business); Data transformation; Customer relationship management; Data science; Process management; Knowledge management; Data warehouse; Data mining; Database; Engineering; Work in process; Business; Marketing","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":[0.01022928,0.0006362173,0.0006376791,0.003854541,0.002460791,0.008822806,0.00189107,0.001937406,0.004697949],"category_scores_gemma":[0.02262715,0.000637231,0.001161325,0.007183187,0.004638981,0.01439125,0.009051846,0.004030678,0.003229755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002309716,"about_ca_system_score_gemma":0.006973094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004829181,"about_ca_topic_score_gemma":0.003193347,"domain_scores_codex":[0.9884354,0.004473199,0.0006765908,0.001491805,0.00417743,0.0007455221],"domain_scores_gemma":[0.9810221,0.008270638,0.001100477,0.005576777,0.003230162,0.000799811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003074095,0.0005150016,0.01297979,0.0006209239,0.0001071916,0.001454941,0.01976306,0.007894915,0.01174718,0.5193447,0.02182119,0.4034437],"study_design_scores_gemma":[0.00006126048,0.0002873093,0.007179467,0.0005896421,0.00008717189,0.001661382,0.02054956,0.04766562,0.03732931,0.4659173,0.4183724,0.0002996287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0774032,0.001265674,0.8185689,0.02212448,0.0004880322,0.001719435,0.002540685,0.002768693,0.07312075],"genre_scores_gemma":[0.4538417,0.001543608,0.5216587,0.002926074,0.0002586732,0.0006330839,0.003810099,0.0008338423,0.01449428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01022928,"threshold_uncertainty_score":0.05409825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2020003332058568,"score_gpt":0.3429788376661587,"score_spread":0.1409785044603019,"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."}}