{"id":"W2768756899","doi":"","title":"Multidimensional User Manual (MUM): A Tool to Manage and Communicate Data Quality Information","year":2004,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Quality (philosophy); Human–computer interaction; Data quality; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":["metaresearch","open_science"],"category_scores_codex":[0.04577097,0.0004709913,0.000695225,0.000571869,0.0005606439,0.002123497,0.006870775,0.0003088694,0.0002655798],"category_scores_gemma":[0.01354015,0.0004490385,0.0001612908,0.0007099669,0.0003859772,0.001737887,0.02986574,0.000809675,0.0007311808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001645456,"about_ca_system_score_gemma":0.0002552107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005034695,"about_ca_topic_score_gemma":0.004830885,"domain_scores_codex":[0.984826,0.009051757,0.001970603,0.001459703,0.002192467,0.0004995293],"domain_scores_gemma":[0.9804068,0.004099654,0.001182092,0.01163031,0.002331517,0.0003496045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001254883,0.00098294,0.001003492,0.0004015122,0.0002385897,0.00001018603,0.02357898,0.00074007,0.0001851288,0.6062247,0.03652317,0.3299857],"study_design_scores_gemma":[0.001474078,0.000001262808,0.03628876,0.001307785,0.00008742663,0.000008493267,0.001455605,0.01168771,0.0008700339,0.04226325,0.9034095,0.001146095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2191273,0.0005148126,0.6561625,0.07747605,0.0006936064,0.002515692,0.00378297,0.000450473,0.03927661],"genre_scores_gemma":[0.5722582,0.0008802934,0.3938116,0.004325731,0.0000502511,0.0001878301,0.01217166,0.0000707457,0.01624372],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8668863,"threshold_uncertainty_score":0.9997962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005368332443591,"score_gpt":0.3646302997650859,"score_spread":0.2640934665207268,"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."}}