{"id":"W2095373260","doi":"10.1016/j.aim.2005.11.012","title":"Hermitian representations of the extended affine Lie algebra <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" display=\"inline\" overflow=\"scroll\"><mml:mover accent=\"true\"><mml:mrow><mml:msub><mml:mi mathvariant=\"fraktur\">gl</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo stretchy=\"false\">(</mml:mo><mml:msub><mml:mi mathvariant=\"double-struck\">C</mml:mi><mml:mi>q</mml:mi></mml:msub><mml:mo stretchy=\"false\">)</mml:mo></mml:mrow><mml:mo>˜</mml:mo></mml:mover></mml:math>","year":2006,"lang":"lv","type":"article","venue":"Advances in Mathematics","topic":"Algebraic structures and combinatorial models","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Mathematics; Hermitian matrix; Covariance and contravariance of vectors; Algebra over a field; Affine transformation; Lie algebra; Pure mathematics; Stress (linguistics); Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003911104,0.0004790871,0.0003558061,0.0009915815,0.0007011486,0.001900283,0.0005526909,0.0004973073,0.02047817],"category_scores_gemma":[0.0008630361,0.0002082962,0.0004264989,0.000786209,0.00122875,0.002202699,0.001045084,0.00101767,0.003159666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006579668,"about_ca_system_score_gemma":0.0005431853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00144324,"about_ca_topic_score_gemma":0.001199225,"domain_scores_codex":[0.999611,0.00008474902,0.00001979763,0.00006728911,0.0001448378,0.00007249416],"domain_scores_gemma":[0.9995788,0.00004819161,0.00007817348,0.0000657939,0.0001182075,0.0001108637],"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":[0.00001974058,0.00001486106,0.0001205412,0.00001668222,0.000005054592,0.00009453436,0.000123586,0.00102353,0.0009364491,0.9876223,0.002613974,0.007408767],"study_design_scores_gemma":[0.00002014341,0.00004733063,0.0005185288,0.00001036453,0.000004629556,0.0001847551,0.0001489646,0.01106369,0.0009112987,0.9745462,0.01252015,0.00002404628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3833517,0.001552108,0.2474266,0.00279322,0.001076606,0.00009317412,0.0009242409,0.0009594947,0.361823],"genre_scores_gemma":[0.865353,0.0007147125,0.02114449,0.000474276,0.0005832819,0.00004343647,0.0005546998,0.000207329,0.1109247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02047817,"threshold_uncertainty_score":0.06850624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571956586825977,"score_gpt":0.2569073173964921,"score_spread":0.2411877515282324,"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."}}