{"id":"W2048988884","doi":"10.4018/jdm.2011070102","title":"Data Management and Data Administration","year":2011,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Timeline; Quarter (Canadian coin); Set (abstract data type); Perception; Computer science; Data management; Data science; Subject matter; Subject (documents); Knowledge management; Political science; Data mining; Psychology; Library science; Statistics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03727026,0.0006770629,0.001100068,0.005627498,0.003499408,0.01972939,0.002551689,0.001995063,0.04250073],"category_scores_gemma":[0.1331309,0.0007059688,0.001067278,0.01330759,0.004391948,0.009343109,0.007002476,0.003486745,0.03723392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004851972,"about_ca_system_score_gemma":0.01987642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004333909,"about_ca_topic_score_gemma":0.001509301,"domain_scores_codex":[0.9384604,0.02220233,0.009677106,0.006877465,0.02083443,0.001948216],"domain_scores_gemma":[0.8470933,0.04629191,0.01246218,0.0509636,0.0369912,0.006197747],"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":[0.0001950869,0.0001768607,0.0105093,0.001447557,0.0001149045,0.0003048161,0.004025739,0.0007044552,0.002460894,0.2106871,0.2021027,0.5672706],"study_design_scores_gemma":[0.00001433378,0.00004626449,0.002281878,0.0003159732,0.00001696099,0.0002663303,0.0006280365,0.0005159204,0.001105277,0.01541432,0.9793701,0.00002467884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01501168,0.0154986,0.3077877,0.06063583,0.009432076,0.005473946,0.01334987,0.007153063,0.5656573],"genre_scores_gemma":[0.3052952,0.02625639,0.3038471,0.03023984,0.009249233,0.005935165,0.02688386,0.003732679,0.2885607],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04250073,"threshold_uncertainty_score":0.1971064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.575305156144148,"score_gpt":0.4737620535880634,"score_spread":0.1015431025560846,"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."}}