{"id":"W1593995188","doi":"10.1007/11533962_24","title":"Lineage Tracing in Mediator-Based Information Integration Systems","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Tracing; Metadata; Context (archaeology); Schema (genetic algorithms); Lineage (genetic); Information retrieval; Theoretical computer science; Distributed computing; Programming language; World Wide Web","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":[0.009682654,0.0005349658,0.001227085,0.001660555,0.002345048,0.005774999,0.003610003,0.002876141,0.004211441],"category_scores_gemma":[0.02130648,0.001167232,0.0007927782,0.00296216,0.002085634,0.008608061,0.004996523,0.002780183,0.0009856293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411195,"about_ca_system_score_gemma":0.001944122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003043681,"about_ca_topic_score_gemma":0.002605069,"domain_scores_codex":[0.9956964,0.001842303,0.00033297,0.0005050854,0.001325511,0.0002977471],"domain_scores_gemma":[0.9893252,0.006432714,0.0005245946,0.002492703,0.0009840931,0.0002407119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008553703,0.0002918639,0.005623419,0.0003996271,0.0001391099,0.0008984616,0.005296856,0.1067756,0.01053511,0.4245546,0.006753646,0.4378763],"study_design_scores_gemma":[0.00009619466,0.0001455547,0.0007135051,0.0001746996,0.0001402962,0.0005421076,0.0007654011,0.6137758,0.02419741,0.328821,0.03055673,0.00007126444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02546038,0.001474028,0.9657122,0.0007247666,0.00006954655,0.0001835671,0.0001090961,0.001631922,0.004634401],"genre_scores_gemma":[0.316261,0.001208905,0.6720295,0.0002110054,0.00006655023,0.0002536556,0.0005586518,0.0005435343,0.008867249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009682654,"threshold_uncertainty_score":0.05120736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06659882761350404,"score_gpt":0.334403244244845,"score_spread":0.267804416631341,"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."}}