{"id":"W4405396905","doi":"10.23977/jeis.2024.090321","title":"Design and Application of Experimental Data Management System Integrating Remote Monitoring and Historical Data Analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Computer science; Data management; Data science; Systems engineering; Engineering; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001242984,0.0006214844,0.000819809,0.001408018,0.0007128617,0.00138157,0.002048153,0.000718167,0.003939562],"category_scores_gemma":[0.001374537,0.0004458718,0.0004217868,0.0009405929,0.000460418,0.001547199,0.001047258,0.0004908146,0.001077664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006067441,"about_ca_system_score_gemma":0.00148819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001827292,"about_ca_topic_score_gemma":0.0006395747,"domain_scores_codex":[0.9986897,0.0001528923,0.0001393588,0.0003888482,0.0005007917,0.0001283794],"domain_scores_gemma":[0.9990755,0.0001324257,0.00008974788,0.000185704,0.0003928151,0.0001237519],"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":[0.001835644,0.00104201,0.0334527,0.001169907,0.0002851607,0.001555797,0.001237497,0.06813985,0.3068928,0.01681661,0.02422982,0.5433422],"study_design_scores_gemma":[0.000435718,0.001096382,0.01700961,0.000106372,0.0003043918,0.0009059042,0.0003014349,0.7204287,0.2005881,0.00504743,0.05354509,0.0002309103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08229294,0.0003161536,0.8812606,0.0003932299,0.0002239738,0.0009082064,0.0005649382,0.02606877,0.007971128],"genre_scores_gemma":[0.7656035,0.0003454119,0.2211344,0.0004138327,0.0001820302,0.001592658,0.001652304,0.0004795163,0.008596486],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003939562,"threshold_uncertainty_score":0.01317918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03927979343127859,"score_gpt":0.3367814893350414,"score_spread":0.2975016959037629,"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."}}