{"id":"W3111889198","doi":"10.1609/aaai.v35i14.17473","title":"Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions","year":2021,"lang":"en","type":"preprint","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Algorithm; Solver; Bayesian probability; Constraint (computer-aided design); State (computer science); Mathematical optimization; Artificial intelligence; Mathematics","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":[0.002549384,0.001246121,0.001389351,0.001212161,0.0005469334,0.001657196,0.00309868,0.001858024,0.004582461],"category_scores_gemma":[0.01075709,0.0009634385,0.000735041,0.001257365,0.0009622267,0.002542916,0.001682597,0.002958014,0.001408041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002403085,"about_ca_system_score_gemma":0.002562254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325633,"about_ca_topic_score_gemma":0.03125307,"domain_scores_codex":[0.9987344,0.0003392073,0.00006430123,0.0003771136,0.0003561238,0.000128856],"domain_scores_gemma":[0.9972296,0.001622267,0.0002586994,0.0002764983,0.0005128842,0.000100075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002618583,0.0001268789,0.001813768,0.00009841483,0.000104913,0.00005255177,0.00004320009,0.7626496,0.0009786815,0.01803026,0.007628375,0.2082115],"study_design_scores_gemma":[0.000004004615,0.000008487793,0.00005349089,0.00000765975,0.000003430608,0.000004413836,0.000001743183,0.9945014,0.0001975654,0.004843378,0.0003714185,0.000003023098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02142808,0.001485877,0.9659615,0.001174501,0.0002036676,0.0001093601,0.0007631235,0.003786769,0.005087066],"genre_scores_gemma":[0.6456522,0.00118177,0.3295605,0.001270232,0.0003585825,0.0005597501,0.003299848,0.0006587717,0.01745845],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02325633,"threshold_uncertainty_score":0.04624194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06105650913797547,"score_gpt":0.278330767030751,"score_spread":0.2172742578927755,"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."}}