{"id":"W2361231636","doi":"","title":"The Design Of A Rule-based Interactive Data Cleaning Framework","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Interactivity; Scalability; Extension (predicate logic); Data flow diagram; Currency; Human–computer interaction; Data mining; Database; Programming language; Multimedia","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":[],"consensus_categories":[],"category_scores_codex":[0.002218801,0.0000893414,0.0001391543,0.00008726281,0.0002825545,0.0003235076,0.003168209,0.00003452881,0.00002473189],"category_scores_gemma":[0.00006135079,0.00005957022,0.00004276755,0.0005502678,0.00008648138,0.0002433751,0.0004691089,0.0001313096,0.000213349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001668758,"about_ca_system_score_gemma":0.0000423652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007450057,"about_ca_topic_score_gemma":0.000002789116,"domain_scores_codex":[0.9983635,0.0001884106,0.000477416,0.0004354881,0.0003813198,0.0001538793],"domain_scores_gemma":[0.994644,0.003005742,0.0002571798,0.001904626,0.000145258,0.0000431899],"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":[0.00002059767,0.0001297165,0.00001314377,0.000001715531,0.0000153294,2.955479e-7,0.0002329787,0.0008150772,0.0004054615,0.03332517,0.04453771,0.9205028],"study_design_scores_gemma":[0.0001342022,0.00003301652,0.001065052,0.00001870193,0.00001331955,9.132635e-7,0.0002533075,0.01905565,0.0008377895,0.1223057,0.8561848,0.00009746585],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001159485,0.00004961502,0.9941082,0.004561953,0.00002085224,0.0005592321,0.00006325575,0.00003403879,0.0004869318],"genre_scores_gemma":[0.09883847,0.00001249275,0.8978422,0.002889332,0.000108939,0.00007349375,0.00007443986,0.000006738196,0.0001538445],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9204053,"threshold_uncertainty_score":0.5887374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2066054966168405,"score_gpt":0.4407488123942204,"score_spread":0.2341433157773798,"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."}}