{"id":"W3137789534","doi":"10.1109/isgt49243.2021.9372210","title":"Sensors with Intelligent Measurement Platform and Low-cost Equipment (SIMPLE)-Performance Characterization","year":2021,"lang":"en","type":"article","venue":"","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alterra Power (Canada)","funders":"U.S. Department of Energy","keywords":"Harmonics; Bandwidth (computing); Electronic engineering; System of measurement; Voltage; Computer science; Low voltage; Calibration; Electrical engineering; Engineering; Telecommunications","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":[0.0005329606,0.0009901805,0.0008152933,0.0008044288,0.0004385016,0.001301257,0.00200704,0.0008499305,0.00372376],"category_scores_gemma":[0.001192477,0.0004795888,0.0003585872,0.0005589299,0.0003976598,0.0016734,0.0007741318,0.0007692889,0.00211365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000834403,"about_ca_system_score_gemma":0.0008369604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006089777,"about_ca_topic_score_gemma":0.001130077,"domain_scores_codex":[0.9986691,0.00007077761,0.00005726992,0.0002370958,0.0008770792,0.00008866637],"domain_scores_gemma":[0.9991477,0.000095688,0.0001428026,0.0001952869,0.0003682235,0.00005029341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002390001,0.0002398251,0.002458696,0.0004100019,0.00004248407,0.000166706,0.00009657418,0.003950325,0.8751251,0.004702576,0.004585123,0.1079836],"study_design_scores_gemma":[0.0000461977,0.001107802,0.004493898,0.0000320051,0.00005167822,0.0006682288,0.00004322652,0.05267616,0.9023947,0.001029222,0.0373912,0.00006576633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2064728,0.001671572,0.7570427,0.0006377863,0.0004202302,0.001384575,0.0009674871,0.008649607,0.02275323],"genre_scores_gemma":[0.5554094,0.0006141044,0.4242471,0.0004095781,0.0001078617,0.0007256352,0.001008529,0.0004126159,0.01706508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00372376,"threshold_uncertainty_score":0.01245725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305901483917042,"score_gpt":0.2274642741612921,"score_spread":0.1844052593221217,"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."}}