{"id":"W4241958354","doi":"10.1109/tcsi.2019.2941308","title":"IEEE Transactions on Circuits and Systems—I:Regular Papers publication information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Computer science; Electronic circuit; Database; Information retrieval; Engineering; Electrical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003586787,0.0004497049,0.0004777549,0.0008132205,0.0003689157,0.0002769226,0.0001882412,0.0005268044,0.00004033898],"category_scores_gemma":[0.0000120385,0.0004657867,0.0001165707,0.0007255563,0.00009677257,0.0006617914,5.655939e-7,0.0005904198,0.00009864663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106087,"about_ca_system_score_gemma":0.00005562609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004313417,"about_ca_topic_score_gemma":0.000008801587,"domain_scores_codex":[0.997915,0.00006374482,0.0007023735,0.0004226353,0.0004191752,0.0004770678],"domain_scores_gemma":[0.9986913,0.0001141984,0.0001194612,0.0006491421,0.0001635601,0.0002622943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001163297,0.0001277739,0.0000374513,0.001585833,0.0007821197,0.000005678731,0.001210099,0.7980846,0.07456952,0.006458302,0.0006543031,0.1164727],"study_design_scores_gemma":[0.009658983,0.001760834,0.001821048,0.003589777,0.001096219,0.001687296,0.0104165,0.7154303,0.04721578,0.00009715014,0.2011198,0.006106279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.242266,0.001105106,0.7222527,0.0006673386,0.007844888,0.003204021,0.0004598122,0.003389692,0.01881038],"genre_scores_gemma":[0.9977655,0.0003119484,0.00002000169,0.00009230664,0.00004817187,0.0003254118,0.00002781065,0.00007524751,0.001333587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7554995,"threshold_uncertainty_score":0.9997794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00823855282691354,"score_gpt":0.1816310453407426,"score_spread":0.1733924925138291,"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."}}