{"id":"W4318185157","doi":"10.1109/bigdata55660.2022.10020564","title":"A Novel Rigorous Measurement Model for Big Data Quality Characteristics","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Big Data (Big Data)","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Big data; Computer science; Data modeling; Quality (philosophy); Data mining; Database; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01265433,0.001531168,0.001163578,0.004748272,0.001090823,0.005786613,0.003666724,0.001810335,0.002058089],"category_scores_gemma":[0.03952235,0.0008043307,0.002152782,0.004451491,0.002717114,0.01262358,0.003507426,0.003203054,0.0006707771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004878956,"about_ca_system_score_gemma":0.005008986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01017129,"about_ca_topic_score_gemma":0.005695426,"domain_scores_codex":[0.9797633,0.006247068,0.001900213,0.004127363,0.00700897,0.0009531234],"domain_scores_gemma":[0.9761101,0.009616345,0.003194085,0.002748327,0.007781511,0.0005496112],"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":[0.0001348605,0.0002771312,0.01519927,0.0003709331,0.0002345721,0.0002456427,0.001013069,0.2595353,0.004844608,0.5952786,0.004046548,0.1188195],"study_design_scores_gemma":[0.00001706421,0.00007747099,0.001859001,0.00003453978,0.00004966335,0.00008547423,0.0001010027,0.8937955,0.001132375,0.1005244,0.002281063,0.00004238749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00421806,0.00007427587,0.9933792,0.0003140524,0.00002063806,0.0001261163,0.0001069494,0.0003306751,0.001429943],"genre_scores_gemma":[0.4177821,0.000395852,0.5774072,0.0002587934,0.0001234524,0.00114412,0.0007260084,0.0001278544,0.002034652],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01265433,"threshold_uncertainty_score":0.06692332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7505477363862263,"score_gpt":0.4080711581157322,"score_spread":0.3424765782704941,"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."}}