{"id":"W4245163795","doi":"10.1109/tcyb.2013.2271730","title":"IEEE Transactions on Cybernetics publication information","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; World Wide Web; Data science; Information retrieval; Artificial intelligence","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002000799,0.0003638828,0.0002440827,0.0004581766,0.0003357838,0.0008946783,0.001020859,0.0002588449,0.0005405614],"category_scores_gemma":[0.000008163786,0.0003597455,0.000227771,0.0005882728,0.00009112176,0.00222738,0.000001832665,0.0006654987,0.00405628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001951467,"about_ca_system_score_gemma":0.0000864121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003141422,"about_ca_topic_score_gemma":0.00004081878,"domain_scores_codex":[0.9976109,0.00007537087,0.0006510364,0.000436534,0.0007022986,0.0005239125],"domain_scores_gemma":[0.9979543,0.0001443244,0.0002255852,0.0009254291,0.0004900044,0.0002603409],"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":[0.00004749464,0.001384513,0.000004132945,0.00006903549,0.0001982543,0.000004351285,0.005200183,0.09936698,0.001888695,0.01435828,0.02421285,0.8532652],"study_design_scores_gemma":[0.001893553,0.001445402,0.0003745754,0.0001752415,0.0001095232,0.00007853709,0.0002059009,0.7345464,0.1965736,0.003803498,0.05927174,0.001522132],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00559613,0.000008161567,0.979257,0.003624341,0.002123057,0.0005519635,0.00002807592,0.0004426758,0.008368523],"genre_scores_gemma":[0.9759299,0.00007402936,0.01465682,0.00284776,0.00006611084,0.0001756816,0.000006604699,0.00003201838,0.006211119],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9703338,"threshold_uncertainty_score":0.9998854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159206644784019,"score_gpt":0.2195021666329745,"score_spread":0.2079101001851343,"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."}}