{"id":"W2309390906","doi":"10.1109/tsmcc.2006.871120","title":"Editorial Recent Advances in Cognitive Informatics","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":114,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Calgary","funders":"","keywords":"Informatics; Cognition; Computer science; Cognitive science; Data science; Psychology; Political science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003516279,0.0001660485,0.0002651298,0.0001052049,0.0002054719,0.0001472364,0.0001355715,0.00008355224,0.000002704975],"category_scores_gemma":[0.000002792819,0.000142867,0.00003936695,0.00037061,0.0000729247,0.0001698452,0.000005597027,0.0002011624,0.00002286844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002081488,"about_ca_system_score_gemma":0.00002027723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000016991,"about_ca_topic_score_gemma":0.00004583723,"domain_scores_codex":[0.9987791,0.00008625774,0.000529442,0.0002580656,0.0001544143,0.0001927274],"domain_scores_gemma":[0.9992875,0.0001532553,0.0001566419,0.0002115882,0.0001131682,0.00007789007],"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":[0.000007788932,0.0001910015,0.00005249767,0.0001551512,0.00001023047,5.43391e-7,0.0002383215,0.0009037698,0.000005676794,0.004073489,0.005402781,0.9889588],"study_design_scores_gemma":[0.0004038449,0.00006301841,0.00006128218,0.0004189549,0.00002180724,0.00001331263,0.00007043325,0.01010679,0.0000303858,0.000333268,0.9882717,0.0002052558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004105546,0.02851125,0.962617,0.0000738364,0.004482514,0.0009199525,0.00001320326,0.00006139794,0.002910323],"genre_scores_gemma":[0.5687045,0.4162874,0.002553674,0.0002858214,0.009182707,0.001710536,0.00002241411,0.00003120386,0.001221737],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9887535,"threshold_uncertainty_score":0.5825947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550191806098648,"score_gpt":0.2644489364803151,"score_spread":0.2489470184193287,"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."}}