{"id":"W2402612754","doi":"10.22215/etd/2013-07045","title":"Multidimensional contexts for data quality assessment","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01092618,0.0002908385,0.0006511562,0.0002128118,0.0002251875,0.0005610413,0.002967991,0.0002175352,0.00605047],"category_scores_gemma":[0.004432424,0.0002039584,0.0001680505,0.0001909978,0.0000412741,0.0008943884,0.000682121,0.0001915497,0.0016661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004647195,"about_ca_system_score_gemma":0.000271419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008834376,"about_ca_topic_score_gemma":0.002967131,"domain_scores_codex":[0.9938535,0.0003813134,0.001528636,0.001449791,0.002476067,0.0003107047],"domain_scores_gemma":[0.9911521,0.003530955,0.0008145669,0.003500269,0.0008572411,0.0001448595],"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":[0.00004399266,0.0001362856,0.0000339824,0.00005294412,0.00006741028,5.433416e-7,0.00007672729,0.000001376636,0.00008436909,0.1666268,0.7028036,0.130072],"study_design_scores_gemma":[0.0007112868,0.00005049479,0.01797586,0.00003588541,0.00005656665,1.858985e-7,0.004259265,0.00363237,0.00008987023,0.0364528,0.9363012,0.0004341762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04220102,0.0007859133,0.4215313,0.009367797,0.02315605,0.01361546,0.01648442,0.0005283545,0.4723296],"genre_scores_gemma":[0.01380502,0.0000368128,0.08400703,0.002050883,0.0002518823,0.0003484623,0.08962425,0.00004045026,0.8098352],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3375243,"threshold_uncertainty_score":0.9991112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5229680496476575,"score_gpt":0.5862770038323718,"score_spread":0.06330895418471427,"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."}}