{"id":"W4251754534","doi":"10.1109/tcyb.2016.2559718","title":"IEEE Transactions on Cybernetics publication information","year":2016,"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":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Data science; World Wide Web; Library science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009521505,0.001110944,0.001353821,0.002887436,0.0006909944,0.002784279,0.000967662,0.001643771,0.5187601],"category_scores_gemma":[0.003280056,0.0004700352,0.0005127982,0.002731347,0.0003589699,0.003070599,0.001227361,0.00153272,0.3220531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005558252,"about_ca_system_score_gemma":0.001358798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362378,"about_ca_topic_score_gemma":0.002132563,"domain_scores_codex":[0.9993363,0.00005422023,0.0000508375,0.00007946276,0.0004145788,0.0000645817],"domain_scores_gemma":[0.9975594,0.0003883283,0.0000777083,0.0004640933,0.001284476,0.0002260939],"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":[0.00009983493,0.0001013932,0.0003464207,0.0003246112,0.00001319497,0.00006906045,0.00001984878,0.0008738559,0.001454459,0.007400729,0.7592088,0.2300879],"study_design_scores_gemma":[0.00002982916,0.00004839872,0.0007969401,0.0002167649,0.00003134455,0.0001741066,0.00003256503,0.004658883,0.001501205,0.009541682,0.9829447,0.00002363733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004772654,0.01340652,0.06699001,0.01613655,0.07317089,0.0004494639,0.02341548,0.006470491,0.795188],"genre_scores_gemma":[0.02402409,0.01627877,0.01401473,0.001817273,0.006638982,0.0001807261,0.02719157,0.001718114,0.9081358],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5187601,"threshold_uncertainty_score":0.6864303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293533654914506,"score_gpt":0.2261962120202997,"score_spread":0.2132608754711546,"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."}}