{"id":"W2954759564","doi":"10.1103/physrevb.101.035151","title":"Relevance of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:mi>Cu</mml:mi><mml:mo>–</mml:mo><mml:mn>3</mml:mn><mml:mi>d</mml:mi></mml:mrow></mml:math> multiplet structure in models of high-<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msub><mml:mi>T</mml:mi><mml:mi>c</mml:mi></mml:msub></mml:math> cuprates","year":2020,"lang":"lv","type":"article","venue":"Physical review. B./Physical review. B","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Physics; Ground state; Crystallography; Linear subspace; Multiplet; Spectral line; Condensed matter physics; Atomic physics; Chemistry; Quantum mechanics; Mathematics; Geometry","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.002556295,0.00238976,0.001800145,0.0005311784,0.001917695,0.001386923,0.004699261,0.002435258,0.03215808],"category_scores_gemma":[0.002839444,0.003987258,0.005618686,0.002975592,0.003329808,0.004602658,0.00416132,0.004684597,0.004257047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004813669,"about_ca_system_score_gemma":0.002656081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002696254,"about_ca_topic_score_gemma":0.0005901847,"domain_scores_codex":[0.9813676,0.001261627,0.004384161,0.004080038,0.004660212,0.004246319],"domain_scores_gemma":[0.9842196,0.003424705,0.004901327,0.004568012,0.000551071,0.002335348],"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":[0.001147231,0.001528464,0.00000884164,0.009462206,0.002405976,0.000648964,0.002105911,0.002166766,0.01355443,0.8684008,0.08920474,0.009365698],"study_design_scores_gemma":[0.003363624,0.00349632,0.00005563104,0.01201364,0.005024827,0.0004461921,0.001280061,0.1168285,0.8228704,0.01892595,0.01162278,0.004072165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915666,0.01251587,0.001999781,0.00226757,0.002366096,0.0002866616,0.001884981,0.0004068361,0.06260621],"genre_scores_gemma":[0.9634525,0.01935261,0.002385337,0.00327829,0.004677658,0.002617475,0.002704638,0.001421876,0.0001095719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8494748,"threshold_uncertainty_score":0.9996497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163584057016413,"score_gpt":0.2656435828659701,"score_spread":0.244007742295806,"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."}}