{"id":"W4412347816","doi":"10.1007/s10703-025-00481-6","title":"Rounding meets approximate model counting","year":2025,"lang":"en","type":"article","venue":"Formal Methods in System Design","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Supercomputing Centre Singapore; Ministry of Education, India; Ministry of Education - Singapore; National Research Foundation Singapore; National Research Foundation","keywords":"Rounding; Mathematics; Computer science; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009831081,0.0001863962,0.0003423922,0.00033616,0.0002442357,0.000272538,0.0009085201,0.000100382,9.826766e-7],"category_scores_gemma":[0.0002266912,0.0001670967,0.00006816666,0.0007817316,0.00001786935,0.0007232392,0.0003151424,0.0002919527,0.000008140378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169227,"about_ca_system_score_gemma":0.00010249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003816184,"about_ca_topic_score_gemma":4.895547e-7,"domain_scores_codex":[0.997219,0.001111635,0.0004981803,0.0004214987,0.0002280964,0.0005215375],"domain_scores_gemma":[0.9987124,0.0005170553,0.000157919,0.0005062429,0.00005365204,0.0000527497],"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":[0.0000142428,0.00002949478,0.0003059658,0.0005070849,0.00002519301,0.00001912983,0.001110023,0.2336987,0.001437363,0.5591782,0.0001214284,0.2035532],"study_design_scores_gemma":[0.0002656452,0.00002023652,0.00004062977,0.0003061996,0.00000549889,0.00001804085,0.0001039882,0.993738,0.001878224,0.003115524,0.0003417221,0.0001662998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000204509,0.0001743407,0.9839912,0.00008536447,0.001146127,0.0002966884,4.17082e-7,0.0003821897,0.01371916],"genre_scores_gemma":[0.1068158,0.000001679585,0.8920807,0.00006511694,0.00003863762,0.00006178487,3.643108e-7,0.0000100396,0.0009258824],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7600393,"threshold_uncertainty_score":0.6814008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04829558355008434,"score_gpt":0.373903787122479,"score_spread":0.3256082035723946,"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."}}