{"id":"W4232331768","doi":"10.1109/tcyb.2014.2314869","title":"IEEE Transactions on Cybernetics publication information","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Data science; Information retrieval; Psychology; 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":[0.0003695831,0.0003548978,0.0002564129,0.0004499662,0.0003545396,0.0006124101,0.001015815,0.000254362,0.0001516825],"category_scores_gemma":[0.000013784,0.0003586301,0.0002301589,0.0005513363,0.00008924188,0.001317009,0.000001698953,0.0006487312,0.001418692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168588,"about_ca_system_score_gemma":0.00007109778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009902681,"about_ca_topic_score_gemma":0.00004942475,"domain_scores_codex":[0.9976148,0.0001093935,0.0006231579,0.0004491407,0.0007141621,0.0004893602],"domain_scores_gemma":[0.9980043,0.0001957269,0.0002336099,0.0009762227,0.0003536189,0.0002365461],"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":[0.00007493592,0.001004328,0.000002911029,0.0000622045,0.0001326535,0.000002582951,0.003680984,0.1495309,0.0009077875,0.03390034,0.007732614,0.8029678],"study_design_scores_gemma":[0.001467459,0.001253735,0.000123978,0.0001254608,0.00008816704,0.00004724088,0.00006497194,0.7473901,0.1321991,0.002496532,0.113758,0.0009851531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002679167,0.000005186487,0.9804981,0.002540314,0.002405859,0.0003088578,0.00002696899,0.0004427893,0.0110928],"genre_scores_gemma":[0.9783698,0.00005227554,0.01453126,0.002887765,0.00009022996,0.00006691348,0.000006626867,0.00003140069,0.003963758],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9756906,"threshold_uncertainty_score":0.9998866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100760061694055,"score_gpt":0.2223365483849487,"score_spread":0.2113289477680082,"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."}}