{"id":"W4287829410","doi":"10.5281/zenodo.3695761","title":"Low cost Design for Current Regulator with High Capacity and Precision","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Regulator; Current (fluid); Risk analysis (engineering); Reliability engineering; Computer science; Engineering; Business; Electrical engineering; Biology","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":[0.0009313399,0.0008861041,0.001075185,0.001553862,0.0007311723,0.001955591,0.004587383,0.00209844,0.01247749],"category_scores_gemma":[0.002288145,0.0006312203,0.000790715,0.0009654817,0.0005418011,0.002058483,0.0008913178,0.001190145,0.009085754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276728,"about_ca_system_score_gemma":0.0009972136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007578647,"about_ca_topic_score_gemma":0.0007005752,"domain_scores_codex":[0.9976548,0.0002100271,0.000109965,0.0005922134,0.001205006,0.0002279411],"domain_scores_gemma":[0.9975083,0.0002562701,0.0003406368,0.0003408386,0.001417167,0.0001366997],"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":[0.0006036002,0.0003444342,0.001682519,0.001621456,0.0001471652,0.0005766185,0.0005141509,0.003879341,0.7381214,0.0322581,0.04443747,0.1758136],"study_design_scores_gemma":[0.0004399292,0.002234133,0.004824743,0.0002481866,0.0003986938,0.00494331,0.0001276869,0.05983782,0.4607197,0.004399506,0.4614449,0.000381495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04548061,0.004048954,0.8775946,0.002062898,0.001485018,0.001183828,0.0008947587,0.01444776,0.05280156],"genre_scores_gemma":[0.6155864,0.001098471,0.3251367,0.001316074,0.001049301,0.001096037,0.001054664,0.001659583,0.05200269],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01247749,"threshold_uncertainty_score":0.04174137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08960403332076261,"score_gpt":0.2392639092340033,"score_spread":0.1496598759132406,"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."}}