{"id":"W2912789966","doi":"10.48550/arxiv.1902.02459","title":"On Mean Estimation for General Norms with Statistical Queries","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Normed vector space; Distribution (mathematics); Combinatorics; Oracle; Norm (philosophy); Mathematics; Space (punctuation); Discrete mathematics; Computer science; Mathematical analysis","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":[0.01368104,0.002078599,0.003999106,0.002335098,0.001954309,0.00555112,0.006328886,0.00474493,0.00427293],"category_scores_gemma":[0.1055574,0.001262761,0.002166927,0.004044333,0.006147848,0.02023614,0.00683005,0.007381444,0.001027045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00547429,"about_ca_system_score_gemma":0.002946049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004246167,"about_ca_topic_score_gemma":0.002308716,"domain_scores_codex":[0.9854652,0.007115375,0.0006115657,0.002984502,0.0027751,0.001048231],"domain_scores_gemma":[0.8065304,0.170661,0.006999749,0.009986968,0.003644894,0.002177015],"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":[0.001465166,0.0004323395,0.006958179,0.000674085,0.0002940434,0.0004300492,0.001275854,0.3895082,0.004161299,0.5206709,0.009685748,0.06444421],"study_design_scores_gemma":[0.00004506793,0.00006825124,0.0004914183,0.00002433153,0.00002327137,0.00012672,0.0001055269,0.6467071,0.000890228,0.3506722,0.0008144517,0.00003142194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07411227,0.00187567,0.9130733,0.005970025,0.0001034649,0.000127894,0.0007128515,0.0008272937,0.003197243],"genre_scores_gemma":[0.6853535,0.002125341,0.2998661,0.001821459,0.001208945,0.0006127748,0.002508976,0.0007935028,0.0057094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01368104,"threshold_uncertainty_score":0.07235312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06122917284165266,"score_gpt":0.2007774211881723,"score_spread":0.1395482483465197,"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."}}