{"id":"W2100287013","doi":"10.5267/j.msl.2012.07.007","title":"A new approach to measure believability dimension of data quality","year":2012,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Dimension (graph theory); Computer science; Quality (philosophy); Psychology; Statistics; Data mining; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01476691,0.001263118,0.0009660017,0.01364245,0.001355398,0.005765471,0.001824744,0.001741926,0.003821367],"category_scores_gemma":[0.05395319,0.0003940854,0.001952411,0.009569107,0.003524168,0.009102182,0.00441012,0.003163944,0.0004984943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003191332,"about_ca_system_score_gemma":0.001879044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001742202,"about_ca_topic_score_gemma":0.001484579,"domain_scores_codex":[0.9752095,0.008308713,0.002853858,0.002708025,0.01028163,0.0006382622],"domain_scores_gemma":[0.9437459,0.03138949,0.007292876,0.005085827,0.01129652,0.001189305],"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":[0.0003389524,0.0007369439,0.1247812,0.001673005,0.001181849,0.0004596191,0.01047449,0.01535477,0.007560458,0.4402133,0.008108428,0.389117],"study_design_scores_gemma":[0.0001850227,0.0011879,0.1319189,0.001379093,0.0007150805,0.001676486,0.009294842,0.1914142,0.01226998,0.5855756,0.06353459,0.0008482746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07649585,0.002303776,0.8807958,0.002608849,0.0004116372,0.0009295503,0.001528189,0.0005740168,0.03435244],"genre_scores_gemma":[0.5801901,0.001175941,0.4121347,0.0005997263,0.000333283,0.001698517,0.001157473,0.00009465775,0.002615534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01476691,"threshold_uncertainty_score":0.07809585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3856054217146545,"score_gpt":0.4431389616160578,"score_spread":0.05753353990140331,"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."}}