{"id":"W4306808597","doi":"10.4230/lipics.itcs.2024.97","title":"Commuting Local Hamiltonians Beyond 2D","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Simons Institute for the Theory of Computing, University of California Berkeley; National Science Foundation","keywords":"Lemma (botany); Event (particle physics); Bounded function; Weak measurement; Mathematics; Discrete mathematics; Type (biology); Set (abstract data type); Quantum; State (computer science); Quantum state; Random access; Sequence (biology); Square root; Combinatorics; Algorithm; Computer science; Physics; Quantum mechanics; Mathematical analysis","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":[0.001182779,0.0003688181,0.0005698462,0.0005442032,0.001471347,0.002496052,0.0009935129,0.0008000737,0.01012317],"category_scores_gemma":[0.006004483,0.0003530161,0.001007423,0.0005868459,0.002983595,0.006285653,0.00328256,0.002969026,0.0009454209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482889,"about_ca_system_score_gemma":0.000958384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001655,"about_ca_topic_score_gemma":0.001254656,"domain_scores_codex":[0.9983888,0.0004345019,0.00009426033,0.0003347209,0.0004996105,0.000248157],"domain_scores_gemma":[0.9950059,0.003012234,0.000333243,0.001090244,0.0003257266,0.0002327541],"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":[0.00008303324,0.0000564805,0.0005193744,0.0001359737,0.00001761923,0.0001685614,0.0004273818,0.01696132,0.002260461,0.9605405,0.002671809,0.01615748],"study_design_scores_gemma":[0.00001991646,0.00002422464,0.0001369266,0.00001660433,0.000007715202,0.00008742332,0.0001234644,0.04468709,0.001489873,0.9484412,0.004949632,0.00001602186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3362302,0.001232533,0.5890863,0.003424418,0.0002260219,0.0003105143,0.001310248,0.001430384,0.06674938],"genre_scores_gemma":[0.9120269,0.000337075,0.07938556,0.0005756276,0.0001055311,0.0002474655,0.0004833263,0.0001977958,0.006640754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01012317,"threshold_uncertainty_score":0.03386533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0403656324946088,"score_gpt":0.1892337081471688,"score_spread":0.14886807565256,"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."}}