{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009507268,0.0007725776,0.001079501,0.0006766633,0.002705094,0.003299266,0.002763717,0.002676365,0.01114363],"category_scores_gemma":[0.003274114,0.0004893591,0.001371819,0.0006525593,0.002967327,0.005452576,0.002025962,0.003561621,0.001859592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768793,"about_ca_system_score_gemma":0.001182617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005678312,"about_ca_topic_score_gemma":0.006513708,"domain_scores_codex":[0.9994128,0.0002774106,0.00001888418,0.000095683,0.0001252704,0.00006994772],"domain_scores_gemma":[0.9989167,0.0003225471,0.0001278648,0.000332293,0.0001397365,0.0001608802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001955873,0.00005460745,0.0002160706,0.0000615159,0.000008386695,0.0001339422,0.0001781526,0.008319348,0.001140374,0.9820508,0.004549007,0.003268399],"study_design_scores_gemma":[0.00001310452,0.00002028088,0.00025976,0.00002956025,0.000006046943,0.0001225441,0.0001225092,0.06023076,0.0005079044,0.931868,0.006799497,0.0000199946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2052568,0.006825327,0.3043066,0.0712297,0.003854345,0.0001534767,0.0008863395,0.0006721772,0.4068154],"genre_scores_gemma":[0.8715796,0.002840383,0.06300561,0.003568264,0.001349421,0.0001915094,0.0003810124,0.0009665781,0.05611757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01114363,"threshold_uncertainty_score":0.03727913,"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."}}