{"id":"W4416052776","doi":"10.1007/978-981-95-2566-9_33","title":"Research on Industrial Big Data Display Systems Based on Grafana and ECharts","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Big data; Data transformation; Data quality; Message queue; Reliability (semiconductor); Visualization; Data processing; Quality (philosophy); Data visualization","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":[0.001767237,0.0005347698,0.0003980483,0.001591395,0.001054677,0.004866828,0.001317637,0.0008579072,0.01339674],"category_scores_gemma":[0.003253883,0.0003892267,0.0006065686,0.003110309,0.001081947,0.006548236,0.0009705071,0.00164802,0.002407382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638014,"about_ca_system_score_gemma":0.001520579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0038649,"about_ca_topic_score_gemma":0.002741629,"domain_scores_codex":[0.9991255,0.0002143083,0.0000359088,0.0001394542,0.0004023021,0.0000824642],"domain_scores_gemma":[0.9980008,0.0008775507,0.00006125754,0.0003041785,0.0006260245,0.0001302042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004131351,0.0002297446,0.002695061,0.0006954254,0.00004573235,0.0002950841,0.00117336,0.005354197,0.0092975,0.3752861,0.05057706,0.5539376],"study_design_scores_gemma":[0.0001106444,0.0006849015,0.008912561,0.0007182116,0.0001217661,0.0009035202,0.002089273,0.08297206,0.04388103,0.1223989,0.7370489,0.0001581821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08752971,0.03720618,0.3500352,0.0171962,0.003511705,0.0004630602,0.0008227684,0.004775707,0.4984595],"genre_scores_gemma":[0.5159195,0.02832863,0.231185,0.003152718,0.001317534,0.0002547766,0.001431966,0.0009629695,0.2174469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01339674,"threshold_uncertainty_score":0.04481655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3635307894671692,"score_gpt":0.3788026441360725,"score_spread":0.01527185466890335,"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."}}