{"id":"W4377007308","doi":"10.1109/jproc.2023.3272577","title":"Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances","year":2023,"lang":"en","type":"review","venue":"Proceedings of the IEEE","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Cognition; Computer science; Cognitive science; Field (mathematics); Action (physics); Perception; Domain (mathematical analysis); Data science; Psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0009598565,0.0002663375,0.001247906,0.0001156381,0.00008811206,0.00005499092,0.0007993025,0.00008646523,8.120638e-7],"category_scores_gemma":[0.0002043586,0.00017175,0.0002346575,0.001139833,0.000145407,0.0001658913,0.0002753735,0.0002373137,0.000004071929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005280643,"about_ca_system_score_gemma":0.00009682492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000152337,"about_ca_topic_score_gemma":6.173004e-7,"domain_scores_codex":[0.9983118,0.00005046394,0.0006863091,0.0004433463,0.0003075314,0.0002005946],"domain_scores_gemma":[0.9975611,0.0004738081,0.001249934,0.0001874274,0.0004821156,0.00004562586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001077869,0.00001057115,3.696904e-7,0.1413602,0.00007760029,1.988052e-7,0.00002193728,5.582155e-8,5.962495e-7,0.006935359,0.0001078941,0.8514841],"study_design_scores_gemma":[0.00007052307,0.00003382588,0.000001174118,0.4572473,0.0006496144,0.00008216363,0.00004593402,0.0002348673,0.000007165962,0.003012156,0.5383654,0.0002498359],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.485081e-7,0.9942219,0.00253646,0.00006778177,0.0002218553,0.001908255,0.00002451574,0.00005384625,0.0009645831],"genre_scores_gemma":[0.00001660917,0.9993511,0.0002143527,0.00003631337,0.00006919171,0.0001765731,0.000002092222,0.00002618775,0.0001075969],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8512343,"threshold_uncertainty_score":0.7003762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893004965368443,"score_gpt":0.3174225625345741,"score_spread":0.2884925128808897,"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."}}