{"id":"W2097966074","doi":"10.1109/cmpsac.1989.65088","title":"On schema integration in a heterogeneous distributed database management system","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Schema (genetic algorithms); Distributed database; Database schema; Database; Schema evolution; Data integration; Data management; Database design; Semi-structured model; Information retrieval","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":[0.0002163452,0.0001225308,0.0001257178,0.00009941758,0.00005499114,0.00004047395,0.0001878365,0.00002326676,0.000009727303],"category_scores_gemma":[0.00002641748,0.00009697332,0.00002581695,0.000330884,0.0000116187,0.0003835583,0.00008976521,0.00006310528,0.00007647819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107225,"about_ca_system_score_gemma":0.00001065978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002742861,"about_ca_topic_score_gemma":0.0000563309,"domain_scores_codex":[0.9989657,0.00007416541,0.0002292935,0.0003519169,0.0001810467,0.0001979238],"domain_scores_gemma":[0.9991735,0.0000313171,0.00005049189,0.00066622,0.00002383365,0.00005470084],"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":[0.000004056594,0.00003770091,0.00001460991,0.00003735397,0.000004270149,0.0001164387,0.00002459752,0.0003671871,0.0001417546,0.9967143,0.0002208153,0.002316932],"study_design_scores_gemma":[0.008494868,0.0009301477,0.0007916453,0.004978052,0.00003998543,0.001065562,0.00517358,0.4111616,0.2534321,0.007466488,0.3027396,0.003726401],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004623822,0.00003776191,0.989932,0.00003050308,0.0001951419,0.0002461571,0.00003423936,0.0001544381,0.004745957],"genre_scores_gemma":[0.7815917,0.000005835401,0.2179555,0.00008822273,0.000008080548,0.00006733341,0.00007594426,0.000006413327,0.0002010516],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9892478,"threshold_uncertainty_score":0.3954457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391315335435362,"score_gpt":0.2413801723619476,"score_spread":0.227467019007594,"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."}}