{"id":"W4364361735","doi":"10.1103/physrevlett.130.156701","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"double-struck\">Z</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> Spin Liquids in the Higher Spin-<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi>S</mml:mi></mml:mrow></mml:math> Kitaev Honeycomb Model: An Exact Deconfined <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"double-struck\">Z</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> Gauge Structure in a Nonintegrable Model","year":2023,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Advanced Condensed Matter Physics","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Government of Canada; Government of Ontario; Ministry of Colleges and Universities; Innovation, Science and Economic Development Canada","keywords":"Artificial intelligence; Computer science; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.00579907,0.004148731,0.001711187,0.001924556,0.004467744,0.005709103,0.009316273,0.006113335,0.501906],"category_scores_gemma":[0.002777999,0.00767244,0.007655357,0.005187524,0.005581582,0.006611789,0.007340298,0.008124514,0.007199968],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009566455,"about_ca_system_score_gemma":0.006023207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00562479,"about_ca_topic_score_gemma":0.004260011,"domain_scores_codex":[0.9668065,0.001824579,0.007075626,0.006952112,0.008245304,0.009095931],"domain_scores_gemma":[0.9735758,0.004614626,0.007985927,0.009154573,0.0006433344,0.004025744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004463241,0.001282116,0.00001807495,0.005219857,0.004310537,0.004498152,0.00364353,0.01274587,0.007913812,0.6793563,0.2743266,0.002221891],"study_design_scores_gemma":[0.00557057,0.002953151,0.0001423323,0.005930147,0.004913126,0.002492242,0.002815261,0.3262252,0.6371225,0.0003544739,0.006158005,0.005322995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.578567,0.002929719,0.00327635,0.003065516,0.005495277,0.0002187932,0.002429655,0.0008581289,0.4031595],"genre_scores_gemma":[0.9511387,0.004746055,0.006368903,0.008262306,0.007371794,0.007227104,0.01008689,0.00405272,0.0007454756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6790019,"threshold_uncertainty_score":0.9996117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108464550092795,"score_gpt":0.2645895231236078,"score_spread":0.2435048776226798,"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."}}