{"id":"W6957967604","doi":"10.60692/a08zx-tj103","title":"Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Multilinear map; Convergence (economics); Gradient descent; Smoothness; Kernel (algebra); Space (punctuation); Tensor (intrinsic definition); Estimation theory; Position (finance)","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":[0.002369447,0.001711595,0.001140015,0.001750097,0.0007158339,0.002119946,0.002157737,0.00157305,0.004123469],"category_scores_gemma":[0.006269632,0.0005648063,0.001682127,0.002401457,0.001944144,0.004712001,0.001953909,0.003072529,0.00124917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171398,"about_ca_system_score_gemma":0.001718006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006020545,"about_ca_topic_score_gemma":0.006279908,"domain_scores_codex":[0.9984064,0.0006934101,0.00007249712,0.0004021678,0.0002671667,0.0001584043],"domain_scores_gemma":[0.9970348,0.001132437,0.0006442956,0.0006078653,0.0003902413,0.0001903448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002913902,0.00003852023,0.001053413,0.0001049458,0.0000719269,0.0001381769,0.0002008933,0.2439761,0.001630737,0.7279636,0.003051524,0.02174102],"study_design_scores_gemma":[0.000003868958,0.00001580807,0.0001960649,0.00001244803,0.0000102868,0.00004228415,0.0000205122,0.7790631,0.0002263606,0.2181951,0.002199423,0.00001468231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00293957,0.0001439652,0.9955152,0.0002285096,0.00003115004,0.00001464028,0.0001383903,0.0001082209,0.0008804227],"genre_scores_gemma":[0.3491866,0.001592658,0.6321248,0.000435638,0.0004169799,0.0004491063,0.00131751,0.0003508028,0.01412596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006020545,"threshold_uncertainty_score":0.01379442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08092565154312945,"score_gpt":0.2920905471584668,"score_spread":0.2111648956153373,"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."}}