{"id":"W62849181","doi":"10.5555/1929757.1929784","title":"Contextual factors in database integration: a Delphi study","year":2010,"lang":"en","type":"article","venue":"International Conference on Conceptual Modeling","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Schema matching; Heuristics; Computer science; Data integration; Database schema; Schema migration; Matching (statistics); Schema (genetic algorithms); Conceptual schema; Database; Delphi method; Delphi; Information integration; Information retrieval; Knowledge management; Data mining; Data science; Database design; Artificial intelligence; Semi-structured model","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003148801,0.0002051054,0.0002073094,0.0002328933,0.00007516011,0.0002668791,0.001465131,0.00007826334,0.0001767987],"category_scores_gemma":[0.0004026816,0.0001731666,0.00004965768,0.0001507384,0.00009312313,0.0007694459,0.0002612722,0.0005345016,0.00004636428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004179426,"about_ca_system_score_gemma":0.0001422163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005621468,"about_ca_topic_score_gemma":0.00257296,"domain_scores_codex":[0.9982554,0.00006724684,0.000402814,0.0005348016,0.0005020963,0.0002376167],"domain_scores_gemma":[0.9988995,0.000174296,0.00008605918,0.00044967,0.000313024,0.00007744406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004036351,0.0003991615,0.006581751,0.000001079532,0.000026886,0.00005101217,0.01194547,0.00116836,0.005385632,0.966701,0.0000399392,0.007659311],"study_design_scores_gemma":[0.000800311,0.00017368,0.0009585558,0.00003916875,0.000003111915,0.000005759341,0.01661188,0.9763269,0.000771114,0.004002333,0.00005492279,0.0002523108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7786149,0.000006137125,0.2150034,0.0007006708,0.001380745,0.0001991564,0.000008273884,0.0001087144,0.003977945],"genre_scores_gemma":[0.9959496,0.000004408099,0.003588712,0.0002382252,0.00009923085,0.00003159509,0.00001834381,0.000007263855,0.00006263266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9751585,"threshold_uncertainty_score":0.7061527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1534381364262396,"score_gpt":0.3499412891156573,"score_spread":0.1965031526894177,"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."}}