{"id":"W4248611014","doi":"10.1109/tit.2018.2836451","title":"IEEE Transactions on Information Theory publication information","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Information theory; Information retrieval; Mathematics; Statistics","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011869,0.0004107835,0.0002533398,0.001097241,0.001330966,0.001016937,0.001003563,0.0002808003,0.0005118649],"category_scores_gemma":[0.00002590595,0.0003901966,0.0002310642,0.001575345,0.000220924,0.02302291,0.000003165606,0.000606094,0.007373277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002361456,"about_ca_system_score_gemma":0.0001839114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001636307,"about_ca_topic_score_gemma":0.000006411242,"domain_scores_codex":[0.9970363,0.0002309112,0.001211636,0.0002554384,0.0007432195,0.0005224397],"domain_scores_gemma":[0.9967234,0.0003856846,0.0005957446,0.001168793,0.0008762902,0.0002501092],"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":[0.0002004071,0.0001417294,3.095279e-7,0.00003422014,0.00005853817,1.135498e-7,0.003964857,0.01815873,0.00005638555,0.2028437,0.003657567,0.7708835],"study_design_scores_gemma":[0.004763006,0.001984964,0.0002560286,0.0002644249,0.0002066042,0.0001325199,0.002369141,0.4326999,0.125029,0.07554904,0.3540324,0.002712974],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007125991,0.000003659252,0.9780951,0.001505015,0.001791668,0.0009330339,0.0001436501,0.0009054222,0.01590988],"genre_scores_gemma":[0.9853488,0.00005262017,0.004236419,0.00897931,0.0001219227,0.0006005573,0.00009876567,0.00001791536,0.0005436397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9846362,"threshold_uncertainty_score":0.9999692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009859260653836669,"score_gpt":0.2267323195932553,"score_spread":0.2168730589394186,"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."}}