{"id":"W4386262528","doi":"10.1109/tcsi.2023.3301632","title":"Guest Editorial Special Issue on the IEEE International NEWCAS Conference 2022","year":2023,"lang":"en","type":"editorial","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université de Sherbrooke","funders":"","keywords":"Telecommunications; Selection (genetic algorithm); Library science; Engineering; Political science; Computer science; Engineering ethics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008565552,0.0005724748,0.0006357327,0.0002859747,0.0005755126,0.0005830438,0.0006003598,0.0009370538,0.0001499963],"category_scores_gemma":[0.0001572981,0.0004442886,0.0002074586,0.000291452,0.0001799774,0.0001772204,0.000003721867,0.001990502,0.0001987789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003448114,"about_ca_system_score_gemma":0.0002254583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007668812,"about_ca_topic_score_gemma":0.00005089326,"domain_scores_codex":[0.9958009,0.000198265,0.0006484956,0.0006568296,0.002119817,0.0005756867],"domain_scores_gemma":[0.9973845,0.001351424,0.0001497335,0.0004975804,0.0003306654,0.0002861079],"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":[0.00002605605,0.00002368555,5.290806e-8,0.0003104754,0.0002815344,0.00003364124,0.0002533022,0.02006244,0.001476871,0.00003696202,0.9709955,0.006499473],"study_design_scores_gemma":[0.0004685486,0.0001221796,1.760402e-7,0.0009201028,0.00004231735,0.00000728222,0.0004868026,0.002433976,0.0003445992,0.00001708446,0.9946844,0.0004725535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002109292,0.0001466871,0.004546098,0.00009613099,0.9825113,0.0005827069,0.0006438295,0.0002946905,0.01115747],"genre_scores_gemma":[0.01091531,0.001035089,0.0000015105,0.000008860825,0.9768379,0.0002393505,0.00004614817,0.0001661894,0.01074966],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02368887,"threshold_uncertainty_score":0.9998009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934683447170527,"score_gpt":0.2736584364532678,"score_spread":0.2443116019815625,"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."}}