{"id":"W2593617781","doi":"10.3166/isi.21.5-6.11-29","title":"A survey on web data linking","year":2016,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Matching (statistics); Task (project management); Process (computing); Pipeline (software); Set (abstract data type); Data processing; Data science; Data mining; Web service; Schema matching; Information retrieval; Database; Data integration; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001810081,0.0003835187,0.0003294676,0.000379085,0.0004249837,0.0009602678,0.002594975,0.0002595536,0.00008599813],"category_scores_gemma":[0.0002634296,0.0002878533,0.00007352976,0.001069073,0.0001908772,0.01120419,0.00122954,0.0002510514,0.001763145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002357824,"about_ca_system_score_gemma":0.0003984194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681184,"about_ca_topic_score_gemma":0.001412335,"domain_scores_codex":[0.9968744,0.0004066999,0.000882196,0.0004737611,0.0006418799,0.0007210838],"domain_scores_gemma":[0.9960006,0.0007292266,0.0005406422,0.002013515,0.0005047079,0.0002113429],"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":[0.00007429662,0.00007015048,0.00681876,0.0005554593,0.00009578387,0.00001091587,0.01140875,0.0002036718,0.00007943642,0.02286142,0.004933063,0.9528883],"study_design_scores_gemma":[0.002619621,0.0008124989,0.1091531,0.008688467,0.00007872149,0.0001472757,0.0005484628,0.1480426,0.001325891,0.01449495,0.712374,0.001714402],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2169085,0.004559082,0.7023268,0.01092547,0.0164688,0.001424188,0.003515915,0.001169876,0.04270136],"genre_scores_gemma":[0.9908395,0.0003547114,0.003326133,0.003484834,0.000525583,0.00001047248,0.0007456063,0.00002603527,0.0006870737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9511739,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04605292873434921,"score_gpt":0.2631022725690448,"score_spread":0.2170493438346956,"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."}}