{"id":"W4386074535","doi":"10.11159/eecss23","title":"Proceedings of the 9th World Congress on Electrical Engineering and Computer Systems and Science","year":2023,"lang":"en","type":"paratext","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; Carnegie Mellon University; Princeton University; U.S. Department of Defense; University of Victoria; Air Force Research Laboratory; National Institutes of Health; National Science Foundation","keywords":"Computer science; Engineering ethics; Engineering; Electrical engineering; Engineering physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009459466,0.00102645,0.0009557519,0.001058238,0.0006285737,0.004097595,0.0006219281,0.001016235,0.3246183],"category_scores_gemma":[0.001778751,0.0001908285,0.0003358003,0.000987487,0.000566819,0.002080019,0.001362751,0.002643361,0.2873243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007360907,"about_ca_system_score_gemma":0.001260743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177902,"about_ca_topic_score_gemma":0.003187805,"domain_scores_codex":[0.9993512,0.0001210864,0.00003038851,0.00007952346,0.0003548739,0.0000629194],"domain_scores_gemma":[0.9984422,0.0002947416,0.00006126739,0.0001067729,0.0006897606,0.0004052701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004737626,0.00003413764,0.0001729696,0.00008579903,0.000006739072,0.00002198277,0.000012507,0.0001099388,0.0003952997,0.00112852,0.9490163,0.04896852],"study_design_scores_gemma":[0.000007904752,0.0000236927,0.0006308713,0.00007892358,0.000005211853,0.00005121677,0.00002241172,0.0003430803,0.0002763956,0.0008311791,0.9977239,0.000005351143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003203941,0.01755356,0.01604027,0.01650763,0.07455721,0.000310008,0.004977549,0.001656773,0.865193],"genre_scores_gemma":[0.003633878,0.005115563,0.00140163,0.00134238,0.004614932,0.00009384284,0.002850989,0.0003488679,0.980598],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3246183,"threshold_uncertainty_score":0.9633501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008593990296580398,"score_gpt":0.2042447648963721,"score_spread":0.1956507745997917,"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."}}