{"id":"W2602516379","doi":"10.48550/arxiv.1310.7940","title":"Generic Spin Model for Honeycomb Iridates Beyond the Kitaev Limit","year":2013,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Advanced Condensed Matter Physics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Physics; Zigzag; Hamiltonian (control theory); Diagonal; Condensed matter physics; Mott insulator; Heisenberg model; Honeycomb; Limit (mathematics); Lattice (music); Ferromagnetism; Materials science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000349891,0.0001752699,0.0001468175,0.00003465792,0.0002049205,0.00004667468,0.0003912332,0.00002898289,0.0001291786],"category_scores_gemma":[0.000001994166,0.0001551745,0.000137807,0.0001946614,0.00008914882,0.0003905083,0.0001201223,0.0001193629,0.0002383161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002972452,"about_ca_system_score_gemma":0.00003740601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006012234,"about_ca_topic_score_gemma":0.00000290412,"domain_scores_codex":[0.9991934,0.00001881969,0.0001020279,0.0003377685,0.00003742101,0.0003106098],"domain_scores_gemma":[0.9991874,0.00008207182,0.00009462448,0.0004546652,0.00009819427,0.00008305574],"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":[0.00002403115,0.0001446835,0.003683423,0.00001523179,0.0001587555,0.00000246062,0.0002429774,0.3854914,0.004281009,0.5919954,0.01030277,0.003657867],"study_design_scores_gemma":[0.0004384521,0.00002179647,0.0002122157,0.000003531096,0.0000501811,1.553347e-7,0.0002077506,0.6101015,0.001211263,0.3869816,0.0005615938,0.0002099327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4633829,0.000008745933,0.5329115,0.0002170563,0.00006563641,0.0003307048,0.00002686673,0.00004004092,0.003016476],"genre_scores_gemma":[0.9931982,0.000002451094,0.001080793,0.0003560747,0.0001361246,0.000009300115,0.00002468315,0.00002686172,0.005165569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5318308,"threshold_uncertainty_score":0.6327833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04710953363206289,"score_gpt":0.178948026308983,"score_spread":0.1318384926769202,"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."}}