{"id":"W2094817912","doi":"10.1145/1084805.1084825","title":"Exchange, integration, and consistency of data","year":2005,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); University of Victoria; York University; Carleton University","funders":"","keywords":"Computer science; IBM; Data exchange; Consistency (knowledge bases); Data consistency; Data integration; Database; Operating system; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001948212,0.00007643927,0.0001377741,0.00004651811,0.0000520489,0.00001679367,0.0006850846,0.00002675714,0.00001982086],"category_scores_gemma":[0.0002085572,0.00006215675,0.00001272784,0.0001267006,0.00005683495,0.001313738,0.0009065905,0.00005100972,0.000009350702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006927945,"about_ca_system_score_gemma":0.00003015305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009642479,"about_ca_topic_score_gemma":0.000419361,"domain_scores_codex":[0.9992645,0.00002889974,0.0002115073,0.0002898276,0.00009888977,0.0001063217],"domain_scores_gemma":[0.9980927,0.0001129853,0.00009806172,0.001591723,0.00006222862,0.00004232219],"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":[0.00000325102,0.00001794569,0.0003845463,0.00002158596,0.000007328164,0.000001606255,0.0002910737,7.077479e-7,0.0008437939,0.04473526,0.005206734,0.9484861],"study_design_scores_gemma":[0.0004232978,0.0001264295,0.001164791,0.0001099375,0.000009941606,0.00004418799,0.0001653123,0.01354757,0.003491356,0.00384645,0.9767894,0.0002813477],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008073254,0.001327895,0.9874422,0.00134824,0.0002209689,0.0001196769,0.00005947065,0.00006078065,0.001347497],"genre_scores_gemma":[0.1315757,0.0003354242,0.8671762,0.0001786435,0.0001374716,0.000007508565,0.00003745467,0.000006287975,0.0005453036],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9715827,"threshold_uncertainty_score":0.2534679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05743416482229315,"score_gpt":0.3015237353670839,"score_spread":0.2440895705447908,"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."}}