{"id":"W4403407106","doi":"10.48550/arxiv.2410.10397","title":"Tighter Risk Bounds for Mixtures of Experts","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Psychology of Social Influence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Econometrics; Computer science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01939826,0.003421483,0.003482294,0.001660149,0.001739775,0.00448351,0.004030962,0.003639665,0.006948193],"category_scores_gemma":[0.1114548,0.001609645,0.002225352,0.001473222,0.00485757,0.0129666,0.0105577,0.009810535,0.001578637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003406743,"about_ca_system_score_gemma":0.002274911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009844642,"about_ca_topic_score_gemma":0.001046234,"domain_scores_codex":[0.9831163,0.007272671,0.0006342095,0.003045752,0.004318512,0.001612487],"domain_scores_gemma":[0.9039318,0.07809608,0.004019959,0.00869412,0.003039639,0.002218467],"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":[0.001038819,0.000362962,0.002743379,0.000720806,0.0003657114,0.0004302131,0.0007353269,0.389375,0.01108926,0.517396,0.00780402,0.06793839],"study_design_scores_gemma":[0.00007142255,0.0002178974,0.0005435959,0.0001039935,0.00006932031,0.0002410264,0.00006886868,0.6982378,0.002969722,0.2950501,0.002355184,0.00007113623],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01911788,0.001443696,0.97133,0.001461205,0.0001370896,0.0000890125,0.0001883566,0.0004549456,0.005777752],"genre_scores_gemma":[0.8195375,0.002403914,0.1672051,0.002514105,0.001073408,0.0004854262,0.0004487653,0.0004035947,0.005928271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01939826,"threshold_uncertainty_score":0.102589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062782288353468,"score_gpt":0.2710699552333071,"score_spread":0.1647917263979602,"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."}}