{"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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.01326111,0.0001952998,0.0003318155,0.00056399,0.0001338338,0.0004048462,0.007004061,0.00002902955,0.0005895997],"category_scores_gemma":[0.0003588086,0.0001474926,0.00004158085,0.0004895364,0.0001090213,0.003897336,0.01152546,0.0001636181,0.0001683945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002428664,"about_ca_system_score_gemma":0.00002562891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001669627,"about_ca_topic_score_gemma":0.00006880622,"domain_scores_codex":[0.99523,0.0002553738,0.001415673,0.0008391785,0.001989014,0.000270762],"domain_scores_gemma":[0.9926026,0.0001585964,0.0009113622,0.005987361,0.0001291162,0.0002109322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002814679,0.0003403219,0.0005182187,0.0001534907,0.0005302952,0.001371616,0.0001548765,0.000001343047,0.00000557846,0.06691253,0.6863139,0.2434164],"study_design_scores_gemma":[0.0009830007,0.0001659637,0.009932301,0.0001017943,0.0004186184,0.00007138436,0.004016402,0.0006833334,0.00002276382,0.007111666,0.9762623,0.0002304192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01493555,0.002478652,0.7063473,0.007613949,0.004794489,0.002502865,0.01251244,0.0001176024,0.2486972],"genre_scores_gemma":[0.3046164,0.00793628,0.6661917,0.003593881,0.0006912063,0.00001563187,0.004753995,0.0000677792,0.01213315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2899485,"threshold_uncertainty_score":0.9983685,"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."}}