{"id":"W2607301743","doi":"10.1103/physrevlett.119.141602","title":"Hyperinvariant Tensor Networks and Holography","year":2017,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Black Holes and Theoretical Physics","field":"Physics and Astronomy","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canada First Research Excellence Fund","keywords":"Ansatz; Quantum entanglement; Physics; Tensor (intrinsic definition); Holography; Class (philosophy); Renormalization; Theoretical physics; Quantum mechanics; Boundary (topology); Mathematical physics; Quantum; Pure mathematics; Mathematics; Computer science; Mathematical analysis; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003274628,0.000253988,0.0002131427,0.0006029038,0.0005308565,0.00116812,0.000481851,0.000536992,0.003766972],"category_scores_gemma":[0.0007192108,0.0001559318,0.000334298,0.0003281911,0.001857909,0.00340049,0.0006625692,0.0006980873,0.0002674265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006963674,"about_ca_system_score_gemma":0.0003504349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037072,"about_ca_topic_score_gemma":0.0007922951,"domain_scores_codex":[0.9998697,0.00003773423,0.000005531119,0.00002762404,0.00003204485,0.00002737864],"domain_scores_gemma":[0.9996301,0.00007579926,0.00006845392,0.0001145511,0.00004926057,0.00006189866],"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":[0.000004759487,0.000003722719,0.00005041926,0.000006654514,0.00000133038,0.00001827164,0.00002663306,0.002186364,0.0007241326,0.9952549,0.0001928971,0.001530034],"study_design_scores_gemma":[0.000006391033,0.00001468516,0.0002004357,0.000007096163,0.000003008297,0.00006649944,0.00005032424,0.05348521,0.0006925836,0.9423775,0.003087184,0.000008971066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4652302,0.001282234,0.4122975,0.002217358,0.00027716,0.00008602598,0.0003931379,0.0004825351,0.1177338],"genre_scores_gemma":[0.9618472,0.00050138,0.02761768,0.0001854157,0.0001082455,0.00005823336,0.0001143754,0.00006484584,0.009502619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003766972,"threshold_uncertainty_score":0.01260179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080083892322059,"score_gpt":0.2663956202493585,"score_spread":0.2555947813261379,"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."}}