{"id":"W4408777426","doi":"10.3390/technologies13040125","title":"Moving the Open-Source Broadly Reconfigurable and Expandable Automation Device (BREAD) Towards a Supervisory Control and Data Acquisition (SCADA) System","year":2025,"lang":"en","type":"article","venue":"Technologies","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadian Seaplants (Canada); Western University","funders":"","keywords":"SCADA; Supervisory control; Automation; Open source; Data acquisition; Embedded system; Control (management); Control system; Computer science; Engineering; Control engineering; Systems engineering; Operating system; Electrical engineering; Software; Artificial intelligence; Mechanical 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":[],"consensus_categories":[],"category_scores_codex":[0.0004681389,0.0001527077,0.0002518308,0.0001225513,0.0002487808,0.0003642175,0.0005962495,0.000174093,0.000001675004],"category_scores_gemma":[0.00008649041,0.0001152699,0.0000146216,0.000238294,0.00006734113,0.0004371655,0.0002187933,0.0001685817,0.000004806167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006754618,"about_ca_system_score_gemma":0.00001966772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003752541,"about_ca_topic_score_gemma":0.00007106491,"domain_scores_codex":[0.9991462,0.00004636018,0.0002415507,0.0002734,0.0000977026,0.0001947629],"domain_scores_gemma":[0.9991676,0.0001010138,0.0000439816,0.0006368628,0.00003425943,0.00001628912],"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":[0.000123224,0.000031181,0.001347706,0.002102367,0.0005407708,0.000009476158,0.0007701674,0.002605893,0.06100207,0.00892956,0.0215795,0.9009581],"study_design_scores_gemma":[0.001192663,0.00003377522,0.002025661,0.0004138936,0.00006287177,0.00005443715,0.01407883,0.947058,0.004501908,0.0001501937,0.0302057,0.0002221148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7946039,0.04424867,0.06246751,0.00622593,0.001196935,0.003734848,0.0001532854,0.04392569,0.04344327],"genre_scores_gemma":[0.99922,0.0001885245,0.0001462889,0.00007267638,0.00001485431,0.0001526701,0.000007040388,0.00001509345,0.0001828717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.944452,"threshold_uncertainty_score":0.4700572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918721422244489,"score_gpt":0.2448576688003213,"score_spread":0.2256704545778764,"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."}}