{"id":"W2150625747","doi":"10.1109/wcre.2001.957839","title":"Interactive migration of legacy databases to net-centric technologies","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Schema (genetic algorithms); The Internet; XML; Schema migration; Database; Database schema; Schema evolution; XML Schema Editor; World Wide Web; Information schema; Document Structure Description; Information retrieval; Semi-structured model; Database design","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":[0.002237012,0.0003186542,0.0002598485,0.0006009799,0.000827141,0.003443028,0.001068746,0.0006154639,0.005505717],"category_scores_gemma":[0.007143996,0.0005627718,0.0003612171,0.0006994972,0.0005820703,0.002595755,0.005047645,0.001027022,0.001194675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006057442,"about_ca_system_score_gemma":0.0006018881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001786021,"about_ca_topic_score_gemma":0.002991193,"domain_scores_codex":[0.9988517,0.0004775044,0.00007490261,0.0001307515,0.0003468044,0.0001183584],"domain_scores_gemma":[0.9978361,0.0007437316,0.00009569773,0.0008079084,0.0003042956,0.0002122398],"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":[0.001707795,0.0006663412,0.008224698,0.0006532486,0.0001326836,0.003621862,0.02233625,0.02448512,0.05226129,0.1329717,0.05684379,0.6960953],"study_design_scores_gemma":[0.0002075574,0.0002970679,0.005571385,0.0002810655,0.0001028598,0.001168077,0.005936788,0.1301719,0.04098348,0.06012905,0.7550319,0.0001189292],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1666674,0.0008257336,0.7169198,0.002112314,0.0008551618,0.0004707653,0.0003574126,0.02038488,0.09140648],"genre_scores_gemma":[0.4766886,0.001095288,0.4667993,0.0008436032,0.0001214858,0.0003036686,0.001132433,0.003145414,0.04987009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005505717,"threshold_uncertainty_score":0.01841843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836598056225035,"score_gpt":0.2655328482163803,"score_spread":0.2371668676541299,"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."}}