{"id":"W4415903173","doi":"10.24963/kr.2025/53","title":"Efficient Volume Computation for SMT Formulas","year":2025,"lang":"","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; University of Toronto; Innovation, Science and Economic Development Canada","keywords":"Satisfiability modulo theories; Computation; Volume (thermodynamics); Satisfiability; Context (archaeology); Automated reasoning; Set (abstract data type); Modulo; Software; Semiring","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001649098,0.0002799752,0.0003145534,0.0003576278,0.0004966155,0.000434401,0.0009785269,0.0001495112,0.00003937455],"category_scores_gemma":[0.0004363748,0.0002894988,0.0002110606,0.001243178,0.0001227059,0.0002789458,0.0003642589,0.0001658956,0.0001539277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741354,"about_ca_system_score_gemma":0.0003276026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002735424,"about_ca_topic_score_gemma":0.000003792176,"domain_scores_codex":[0.9973256,0.0001648579,0.0007955556,0.0007951079,0.0003481109,0.0005707663],"domain_scores_gemma":[0.9980032,0.00028602,0.0002542331,0.0007485832,0.0006023632,0.0001055297],"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":[0.00004053544,0.0001788102,0.00006791248,0.000192696,0.00003208788,3.013974e-7,0.0004512787,0.07675032,0.0001809347,0.5290186,0.003819243,0.3892673],"study_design_scores_gemma":[0.0007533088,0.0001803001,0.002113705,0.00008361247,0.00003733124,0.000002154786,0.00006008961,0.9677637,0.003665185,0.0108868,0.0141769,0.0002769317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002987418,0.0002057852,0.9710488,0.001570273,0.00496073,0.001577725,0.000008147939,0.0002133674,0.0174278],"genre_scores_gemma":[0.3000381,0.00000483138,0.6915029,0.0005432586,0.00006582365,0.00008967389,0.000005756479,0.00001023021,0.007739369],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8910134,"threshold_uncertainty_score":0.9999557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070991135187328,"score_gpt":0.3430744459743921,"score_spread":0.3123645346225188,"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."}}