{"id":"W4296250523","doi":"10.48550/arxiv.1107.4066","title":"Chevet type inequality and norms of submatrices","year":2011,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Inequality; Block matrix; Mathematics; Type (biology); Pure mathematics; Block (permutation group theory); Algebra over a field; Mathematical economics; Combinatorics; Mathematical analysis; Geology; Physics; Eigenvalues and eigenvectors","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":[0.005270755,0.001397307,0.001022695,0.001989138,0.001026405,0.002569731,0.00206461,0.001724511,0.005148726],"category_scores_gemma":[0.03115546,0.0005769985,0.001087952,0.001256631,0.00623895,0.005309724,0.003982011,0.005584414,0.001169114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002146148,"about_ca_system_score_gemma":0.001379885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524172,"about_ca_topic_score_gemma":0.001056406,"domain_scores_codex":[0.9962948,0.001275903,0.0001326761,0.0005982513,0.001233364,0.0004649992],"domain_scores_gemma":[0.9766149,0.01505656,0.001477167,0.002501068,0.003179903,0.001170473],"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":[0.00007762513,0.00003314824,0.0008130918,0.00008166923,0.00003022254,0.000123828,0.0001298617,0.02668168,0.005160099,0.9574345,0.001277025,0.008157349],"study_design_scores_gemma":[0.00001581829,0.0000737765,0.0007829699,0.00003994599,0.00001196036,0.0001227713,0.00006120897,0.2995782,0.004269618,0.6929222,0.002084903,0.00003664804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.06596811,0.0007830806,0.9045932,0.001715363,0.0001823797,0.00006146578,0.0003096075,0.0002303614,0.02615646],"genre_scores_gemma":[0.8412511,0.001467117,0.1308234,0.001683408,0.0006539465,0.0006162308,0.0006899823,0.0004590707,0.02235574],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005270755,"threshold_uncertainty_score":0.02787471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2169576757045923,"score_gpt":0.2436146221504528,"score_spread":0.02665694644586053,"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."}}