{"id":"W2296277496","doi":"10.1038/ncomms12234","title":"Spin slush in an extended spin ice model","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Condensed Matter Physics","field":"Physics and Astronomy","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Perimeter Institute; University of Waterloo","funders":"Institut Périmètre de physique théorique; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Innovation, Science and Economic Development Canada","keywords":"Spin ice; Slush; Quantum spin liquid; Spins; Condensed matter physics; Dynamical heterogeneity; Spin (aerodynamics); Physics; Spin model; Quantum tunnelling; Spin glass; Relaxation (psychology); Ground state; Pyrochlore; Spin polarization; Quantum mechanics; Thermodynamics; Glass transition; Nuclear magnetic resonance","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":[0.0001062615,0.0001446028,0.0003238811,0.0002586562,0.000334241,0.0007354895,0.0005310359,0.0004135479,0.001491622],"category_scores_gemma":[0.0002620481,0.0001041609,0.0002243753,0.0001477745,0.001048517,0.0008302337,0.0005385649,0.0003274413,0.0001020024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003469495,"about_ca_system_score_gemma":0.0003087081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549272,"about_ca_topic_score_gemma":0.001537451,"domain_scores_codex":[0.9999459,0.00001164923,0.000002116984,0.000007736976,0.00001563338,0.00001693662],"domain_scores_gemma":[0.9999038,0.00001806548,0.00001383407,0.0000175871,0.00001156742,0.00003512862],"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":[0.0001930102,0.0001131351,0.0008412896,0.0000778098,0.00002592286,0.0007382367,0.0002163811,0.1309797,0.03436878,0.826293,0.001431689,0.004720947],"study_design_scores_gemma":[0.0001400319,0.000153524,0.0006161989,0.00001495786,0.00001115207,0.0002230714,0.0001183797,0.7183437,0.003980709,0.2734747,0.0028937,0.00002982372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552178,0.0002837437,0.02488991,0.0003967219,0.00006036502,0.00001890405,0.00007804055,0.0001008809,0.01895358],"genre_scores_gemma":[0.9948441,0.00009136185,0.002794267,0.00005352336,0.00001977941,0.00001598811,0.00004644123,0.00001245359,0.002121993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001549272,"threshold_uncertainty_score":0.004990041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166686987293395,"score_gpt":0.3351524701261023,"score_spread":0.3134856002531684,"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."}}