{"id":"W4402112538","doi":"10.1007/978-3-031-70626-4_9","title":"GXJoin: Generalized Cell Transformations for Explainable Joinability","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","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":[0.0009900338,0.0008652634,0.0005566024,0.0007808811,0.0006772798,0.001716205,0.001824039,0.0009508922,0.02241959],"category_scores_gemma":[0.003326787,0.0004828297,0.001672195,0.001022285,0.001529475,0.003886591,0.003533082,0.003496244,0.005430076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006764157,"about_ca_system_score_gemma":0.0006187724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194063,"about_ca_topic_score_gemma":0.001323319,"domain_scores_codex":[0.9989214,0.0002043065,0.00007221095,0.0002501302,0.0004335705,0.0001184264],"domain_scores_gemma":[0.998689,0.0006366401,0.00004777333,0.0004425626,0.0001355012,0.00004856288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001714822,0.00007659247,0.0003303695,0.0002963145,0.00004365648,0.0002183324,0.0007034646,0.01288466,0.01208863,0.7448547,0.01777913,0.2105526],"study_design_scores_gemma":[0.00005186156,0.00004600699,0.0001907328,0.00006013361,0.00004355535,0.000149285,0.0001167464,0.07178327,0.01392058,0.8295584,0.08404289,0.00003653913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003484154,0.00007777866,0.9853999,0.0001520864,0.00007837643,0.0000575586,0.0003223043,0.004677137,0.005750585],"genre_scores_gemma":[0.2009241,0.0005192336,0.7555401,0.0004374857,0.0001992858,0.0005524552,0.003760885,0.007182361,0.03088419],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02241959,"threshold_uncertainty_score":0.07500106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0933103195086047,"score_gpt":0.3545055326465066,"score_spread":0.2611952131379019,"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."}}