{"id":"W4319653486","doi":"10.48550/arxiv.2302.03160","title":"Stretching maps for tensors","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Tensor (intrinsic definition); Construct (python library); Symmetry (geometry); Mathematics; Algebraic number; Order (exchange); Pure mathematics; Algebra over a field; Invariants of tensors; Algebraic structure; Mathematical analysis; Computer science; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009279122,0.0008867715,0.000296212,0.001322374,0.001104,0.001523659,0.0005141931,0.0006640675,0.007468522],"category_scores_gemma":[0.001709364,0.0002312424,0.0007646708,0.0006417496,0.001900762,0.003450512,0.00172046,0.001422832,0.00152933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005897749,"about_ca_system_score_gemma":0.0003222426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003456456,"about_ca_topic_score_gemma":0.0002221894,"domain_scores_codex":[0.9993941,0.0001484926,0.00003624801,0.0001182262,0.0002172758,0.00008566484],"domain_scores_gemma":[0.9991732,0.0002111436,0.0001448662,0.0001621434,0.0001580619,0.0001505702],"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":[0.00001533558,0.00001318356,0.00009716419,0.00004110002,0.00000509117,0.00008913014,0.0002541734,0.001271321,0.003932504,0.9830177,0.0009758333,0.0102874],"study_design_scores_gemma":[0.000005843384,0.00005229942,0.0002102594,0.00001916769,0.000007923905,0.0002325699,0.000158139,0.01128582,0.003650716,0.9604012,0.02395941,0.00001668513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1742722,0.002922177,0.7038696,0.001823814,0.001705086,0.0001285443,0.0003655113,0.0006793048,0.1142337],"genre_scores_gemma":[0.7901734,0.003012771,0.1513387,0.0008461772,0.002058402,0.0002049575,0.0004429966,0.0006004603,0.05132224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007468522,"threshold_uncertainty_score":0.02498472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2491299572506193,"score_gpt":0.2657592659609679,"score_spread":0.01662930871034868,"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."}}