{"id":"W2116871211","doi":"10.1109/tsmcb.2009.2013721","title":"Contemporary Cybernetics and Its Facets of Cognitive Informatics and Computational Intelligence","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Manitoba; University of Calgary","funders":"","keywords":"Cybernetics; Cognitive science; Computational intelligence; Computer science; Informatics; Cognition; Biocybernetics; Artificial intelligence; Cognitive architecture; Psychology; Engineering; Neuroscience","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":[0.0004306652,0.0004563312,0.0005846447,0.0002767903,0.0002510975,0.000300949,0.0003261069,0.000227555,0.000005815224],"category_scores_gemma":[0.00002227359,0.0004658764,0.00008420444,0.0003716109,0.0002944888,0.0002533518,0.00002968022,0.0004472875,0.00001802062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002777542,"about_ca_system_score_gemma":0.00008438147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002696129,"about_ca_topic_score_gemma":0.000008143151,"domain_scores_codex":[0.9973015,0.000192276,0.0009872952,0.000555473,0.0005319595,0.0004314511],"domain_scores_gemma":[0.9977118,0.0008052551,0.0003942284,0.0003032637,0.0004383796,0.0003470776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005218393,0.002465829,0.001101888,0.001310313,0.001111476,0.0001176163,0.04067405,0.157192,0.0003936485,0.06075598,0.003101117,0.7312543],"study_design_scores_gemma":[0.001772754,0.001804811,0.003104148,0.00172704,0.0001396256,0.0003002706,0.001296514,0.9826294,0.002974068,0.002150472,0.001060096,0.001040755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1712414,0.003416747,0.8202208,0.00017116,0.0005337429,0.0007595479,0.00007264975,0.0001461449,0.00343781],"genre_scores_gemma":[0.9960915,0.00118017,0.001793989,0.0002941181,0.00006377923,0.00001701422,0.00000935005,0.00002348775,0.0005265377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8254375,"threshold_uncertainty_score":0.9997793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03213895612954015,"score_gpt":0.2586853916812793,"score_spread":0.2265464355517391,"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."}}