{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004429595,0.0001367603,0.000171724,0.00008167191,0.0008386691,0.0001822124,0.001658244,0.00004435922,0.0005939474],"category_scores_gemma":[0.0002644544,0.0001271913,0.0000596504,0.00144575,0.0003180342,0.0006968357,0.00006594269,0.0002351831,0.0002070199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003441134,"about_ca_system_score_gemma":0.0001547013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001028587,"about_ca_topic_score_gemma":0.00005192582,"domain_scores_codex":[0.9981957,0.00005047666,0.0002812353,0.0006616306,0.000441422,0.0003695461],"domain_scores_gemma":[0.9961671,0.000442264,0.00007261415,0.002985878,0.0001716518,0.0001604861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002339388,0.00595559,0.0005730638,0.0001768102,0.0002816017,0.0001915905,0.001246618,0.01270996,0.169864,0.5024605,0.1369702,0.1693361],"study_design_scores_gemma":[0.006704404,0.0004699184,0.01714227,0.0004713778,0.0009437872,0.001681905,0.002931345,0.2705031,0.09456358,0.3235555,0.2770638,0.003969017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1827333,0.0001213962,0.7860888,0.02135972,0.001438998,0.0007860752,0.001222031,0.0009082753,0.005341474],"genre_scores_gemma":[0.8434577,0.00005893712,0.1542929,0.001009211,0.0000926651,0.00003673957,0.00007923273,0.0000215759,0.0009510147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6607245,"threshold_uncertainty_score":0.6503307,"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."}}