{"id":"W4243526850","doi":"10.1109/tit.2017.2763858","title":"IEEE Transactions on Information Theory publication information","year":2017,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002098599,0.001336414,0.002099609,0.003911759,0.0009687994,0.004525161,0.001248724,0.002212753,0.2084987],"category_scores_gemma":[0.01229823,0.0006042324,0.0008152172,0.005024207,0.000823775,0.004533538,0.001830113,0.002672678,0.08831038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034928,"about_ca_system_score_gemma":0.002335642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466058,"about_ca_topic_score_gemma":0.001208192,"domain_scores_codex":[0.9979766,0.0003361919,0.0001684629,0.0002083114,0.001166879,0.0001436078],"domain_scores_gemma":[0.9941602,0.001940621,0.0002038031,0.001476397,0.002027051,0.0001918982],"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":[0.0001682634,0.0001282973,0.0006506261,0.0008631537,0.00006134564,0.000153956,0.00004772375,0.003297516,0.00110161,0.07365642,0.5431566,0.3767145],"study_design_scores_gemma":[0.00007064382,0.00010535,0.001270486,0.0009066583,0.0001535436,0.0005512421,0.0001121878,0.03564457,0.003219291,0.1957536,0.7621328,0.00007967233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007630523,0.03644949,0.3967322,0.02792453,0.04809596,0.0007562309,0.03403828,0.00614095,0.442232],"genre_scores_gemma":[0.1236717,0.0703073,0.09714296,0.005033089,0.01312435,0.0008795162,0.0518901,0.002578398,0.6353726],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7915013,"threshold_uncertainty_score":0.6974977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254314784147562,"score_gpt":0.2379089332788544,"score_spread":0.2253657854373788,"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."}}