{"id":"W2481918881","doi":"10.1137/1.9781611975031.138","title":"Tolerant Junta Testing and the Connection to Submodular Optimization and Function Isomorphism","year":2018,"lang":"en","type":"preprint","venue":"Society for Industrial and Applied Mathematics eBooks","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Azrieli Foundation; University of Waterloo; Tel Aviv University; National Science Foundation","keywords":"Function (biology); Mathematics; Combinatorics; Submodular set function; Cardinality (data modeling); Time complexity; Oracle; Connection (principal bundle); Boolean function; Property testing; Isomorphism (crystallography); Discrete mathematics; Polynomial; Algorithm; Computer science","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":[0.001011317,0.0002654654,0.0003875536,0.00004268642,0.0006635516,0.0004984864,0.0002526688,0.0003397442,0.000001680777],"category_scores_gemma":[0.00008735523,0.0002037053,0.000121231,0.00008940013,0.000321024,0.00004202349,0.0008971184,0.0003759849,4.692625e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002331819,"about_ca_system_score_gemma":0.0000551017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000221515,"about_ca_topic_score_gemma":0.000002110499,"domain_scores_codex":[0.998682,0.00001939526,0.000361443,0.0005217146,0.0001955742,0.0002199309],"domain_scores_gemma":[0.998687,0.0005187565,0.00025967,0.0003353641,0.0001084971,0.00009070933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002133625,0.0001140265,0.000007981411,0.001018258,0.0005634108,4.670869e-7,0.01746855,0.004740605,0.000552417,0.8139593,0.00341949,0.1579421],"study_design_scores_gemma":[0.00212995,0.0001127386,0.000002675861,0.0001716577,0.0001476018,0.00001146912,0.0003966381,0.5891714,0.0003254003,0.4066304,0.0005840583,0.0003159886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02356538,0.00005455835,0.9721811,0.0005654372,0.0005712677,0.002228284,0.00002415674,0.0001262171,0.00068353],"genre_scores_gemma":[0.06633014,0.0000290117,0.9306501,0.0006696452,0.001386776,0.0006891172,0.00002142866,0.00004486188,0.0001789159],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5844308,"threshold_uncertainty_score":0.8306863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07651544265797267,"score_gpt":0.2444420354877723,"score_spread":0.1679265928297996,"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."}}