{"id":"W4211105203","doi":"10.1145/3491255","title":"Quantized Tensor Neural Network","year":2021,"lang":"en","type":"article","venue":"ACM/IMS Transactions on Data Science","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"National Natural Science Foundation of China","keywords":"Tensor (intrinsic definition); Artificial neural network; Computer science; Artificial intelligence; Deep learning; Machine learning; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000941498,0.001001766,0.001036985,0.000915285,0.0005275289,0.001542413,0.001470547,0.0008061869,0.003369604],"category_scores_gemma":[0.003781191,0.0003702943,0.0007642171,0.001598405,0.0009785201,0.002799165,0.001016082,0.00159089,0.0009091097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518436,"about_ca_system_score_gemma":0.001585182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081475,"about_ca_topic_score_gemma":0.009619813,"domain_scores_codex":[0.99922,0.0001954445,0.00006031813,0.0001842754,0.0002406991,0.00009920169],"domain_scores_gemma":[0.9989244,0.0002656877,0.0001400886,0.0001848392,0.0004213042,0.00006364147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002368034,0.0000666228,0.002029334,0.000421147,0.0001400888,0.0001770196,0.0001157417,0.6294147,0.008666501,0.1285865,0.01451589,0.2156296],"study_design_scores_gemma":[0.000004601417,0.0000163509,0.0001522731,0.0000112436,0.00001000736,0.0000274747,0.000009223749,0.9774968,0.0009005675,0.01901393,0.002346766,0.00001079801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009297315,0.001207683,0.9838676,0.0004570186,0.0002909926,0.00004779738,0.0004946831,0.001022048,0.003314793],"genre_scores_gemma":[0.5405702,0.003401454,0.4428626,0.0004597432,0.0003803834,0.0002147541,0.001968746,0.0002874761,0.00985472],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01081475,"threshold_uncertainty_score":0.02150363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1596832134277979,"score_gpt":0.3908336471541423,"score_spread":0.2311504337263444,"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."}}