{"id":"W4413361263","doi":"10.1109/icde65448.2025.00363","title":"LineageX: A Column Lineage Extraction System for SQL","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Column (typography); Computer science; SQL; Extraction (chemistry); Lineage (genetic); Database; Chromatography; Chemistry; Computer network","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":[0.0002417567,0.00009591908,0.0001553557,0.00007829477,0.0001678448,0.00007182996,0.0002283726,0.00004812442,0.000004060803],"category_scores_gemma":[0.00005383222,0.00008322956,0.00006286897,0.0002672898,0.00001503831,0.0005593819,0.0001072107,0.00005588087,0.00002432995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000554678,"about_ca_system_score_gemma":0.00006708854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007028299,"about_ca_topic_score_gemma":0.0000628475,"domain_scores_codex":[0.9991468,0.0000238344,0.0002544618,0.0003036241,0.00009365657,0.0001776616],"domain_scores_gemma":[0.9991363,0.0001539847,0.00007126546,0.0004828923,0.0001152382,0.00004031354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000980882,0.00002310211,0.00003483059,0.00021739,0.00001400493,0.000004430499,0.00003920517,0.00006916882,0.001675099,0.9803774,0.007973052,0.0095625],"study_design_scores_gemma":[0.0005310306,0.00005599218,0.0001097415,0.0001542007,0.000008622415,0.00001534113,0.0002640947,0.1147566,0.02953273,0.0001533974,0.8542396,0.0001786057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003380465,0.0001203654,0.9870795,0.0002690964,0.001282413,0.0004058231,0.00001865402,0.0004308835,0.0100552],"genre_scores_gemma":[0.1739584,0.00000941016,0.7916663,0.000415252,0.0002828025,0.0003126163,0.000023922,0.00001151416,0.03331978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.980224,"threshold_uncertainty_score":0.3394003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087692297055994,"score_gpt":0.2927652775393659,"score_spread":0.281888354568806,"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."}}