{"id":"W7108215825","doi":"10.48660/25120045","title":"Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets","year":2025,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Artificial neural network; Wave function; Heisenberg model; Feature (linguistics); Function (biology); Context (archaeology)","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":[0.0008371797,0.0005295948,0.000876471,0.0007017429,0.0007993052,0.001154558,0.001613837,0.00145653,0.006119532],"category_scores_gemma":[0.004829002,0.0003862928,0.0005198328,0.0005568338,0.001220554,0.001804169,0.001085982,0.001534101,0.0006252683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008835248,"about_ca_system_score_gemma":0.0007050538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007731364,"about_ca_topic_score_gemma":0.009598196,"domain_scores_codex":[0.9997728,0.00009773257,0.000008439473,0.00002177394,0.00005683542,0.0000423801],"domain_scores_gemma":[0.9988036,0.0007254557,0.00008489468,0.0001455317,0.0001141357,0.0001262865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001568401,0.0001199869,0.001122412,0.0001032009,0.00006702422,0.0001553051,0.0001248334,0.8730128,0.002368542,0.1107763,0.003488469,0.008504287],"study_design_scores_gemma":[0.000007737925,0.000004230323,0.00004193623,0.000002371521,0.000001751893,0.000003004724,0.000006015128,0.9903554,0.0001286031,0.009341222,0.0001042167,0.000003555426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6504799,0.000784011,0.2892369,0.003337057,0.0005410914,0.0001436277,0.0005172126,0.002259997,0.05270007],"genre_scores_gemma":[0.9767979,0.0001538229,0.01805055,0.0002284079,0.00007768231,0.0001105542,0.0001834095,0.0003849761,0.004012664],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007731364,"threshold_uncertainty_score":0.02047181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807738183243382,"score_gpt":0.2909488958337481,"score_spread":0.2628715140013143,"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."}}