{"id":"W2253429746","doi":"10.1103/physrevb.93.144402","title":"Linear spin-wave study of a quantum kagome ice","year":2016,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Advanced Condensed Matter Physics","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Perimeter Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Physics; Ising model; Condensed matter physics; Phase diagram; Ground state; Spin ice; Zeeman effect; Hamiltonian (control theory); Quantum Monte Carlo; Quantum annealing; Quantum; Quantum spin liquid; Quantum fluctuation; Quantum mechanics; Monte Carlo method; Phase (matter); Magnetic field; Spin polarization; Quantum computer; Electron","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":[0.0002926354,0.0002902604,0.0004988862,0.0005629921,0.0008006827,0.0008551886,0.001085894,0.0008872371,0.002141685],"category_scores_gemma":[0.0009009397,0.0002173599,0.000453427,0.0003568555,0.002133379,0.00110907,0.0008142855,0.001046036,0.0001450458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006317743,"about_ca_system_score_gemma":0.0005773638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004525885,"about_ca_topic_score_gemma":0.003264761,"domain_scores_codex":[0.9998956,0.00003990435,0.000002481427,0.000009389766,0.00002525336,0.00002732217],"domain_scores_gemma":[0.9996697,0.0001477668,0.00004876741,0.00003519244,0.00003278495,0.00006585098],"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":[0.0001811942,0.0002612747,0.00244063,0.0002093373,0.00008921085,0.0009137422,0.0005034758,0.205791,0.01873414,0.7644967,0.002526663,0.003852575],"study_design_scores_gemma":[0.00006221353,0.00006032978,0.0007945087,0.00001783546,0.00001331896,0.00008046852,0.0001149008,0.9242372,0.001108536,0.07277618,0.0007150769,0.00001944325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526772,0.0005623811,0.01531565,0.001420932,0.00005843079,0.00003732769,0.00007515561,0.00008875303,0.02976406],"genre_scores_gemma":[0.9943762,0.0002241184,0.003315564,0.0001707886,0.00004770686,0.00002528556,0.00005661889,0.00002659889,0.001757269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004525885,"threshold_uncertainty_score":0.008999109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02928361499045582,"score_gpt":0.3885764564283469,"score_spread":0.359292841437891,"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."}}