{"id":"W2037947155","doi":"10.1016/j.geomphys.2013.01.003","title":"Constant curvature solutions of Grassmannian sigma models: (1) Holomorphic solutions","year":2013,"lang":"en","type":"article","venue":"Journal of Geometry and Physics","topic":"Geometry and complex manifolds","field":"Mathematics","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Science and Technology Facilities Council; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Holomorphic function; Grassmannian; Mathematics; Gaussian curvature; Constant (computer programming); Constant curvature; Curvature; Sigma; Pure mathematics; Mean curvature; Scalar curvature; Mathematical analysis; Mathematical physics; Geometry; Physics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005212809,0.0001812527,0.0004762367,0.0001651831,0.000225436,0.0000477519,0.0002400319,0.0001200069,0.0001192104],"category_scores_gemma":[0.0001340525,0.0001501744,0.0002144835,0.000680501,0.0001852089,0.0005412948,0.0001074352,0.0004476889,0.000006466055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000227308,"about_ca_system_score_gemma":0.00007854504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001696746,"about_ca_topic_score_gemma":0.000002952231,"domain_scores_codex":[0.9985115,0.00008881377,0.0006011499,0.0001262436,0.0003477901,0.000324517],"domain_scores_gemma":[0.9980308,0.0003687422,0.0006356183,0.0002603461,0.0005450156,0.0001594156],"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":[0.00004356249,0.0010848,0.001088153,0.0003195293,0.0005533391,0.00001647459,0.0007694555,0.001317814,0.003767655,0.9677329,0.01829887,0.00500743],"study_design_scores_gemma":[0.0005858223,0.0003201388,0.001267959,0.0001389262,0.0002082682,0.0001652805,0.0005806505,0.004055137,0.0003067966,0.9916267,0.0005373802,0.0002069631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7157853,0.002381577,0.2755585,0.001211261,0.0004218111,0.0003056074,0.00008873315,0.00003433435,0.004212899],"genre_scores_gemma":[0.9928575,0.0001287158,0.006546725,0.0000667823,0.0002163889,0.000003252272,0.000002832711,0.00001545946,0.0001624007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2770721,"threshold_uncertainty_score":0.6123936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0994672203329108,"score_gpt":0.2767011822394638,"score_spread":0.177233961906553,"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."}}