{"id":"W2294843272","doi":"10.1007/978-3-662-48899-7_29","title":"Enhancing Search-Based QBF Solving by Dynamic Blocked Clause Elimination","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Preprocessor; Computer science; True quantified Boolean formula; Cube (algebra); Algorithm; Solver; Power (physics); Artificial intelligence; Mathematics; Combinatorics; Programming language","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":[0.001194558,0.0008894852,0.0008429069,0.0009088931,0.0006757025,0.001085279,0.002177511,0.0009371944,0.01387568],"category_scores_gemma":[0.005028032,0.0005376801,0.001040378,0.001062755,0.0009730092,0.002436597,0.002430391,0.001959474,0.002077108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008771226,"about_ca_system_score_gemma":0.002274083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004388203,"about_ca_topic_score_gemma":0.007536202,"domain_scores_codex":[0.9985972,0.0004198116,0.00006256389,0.000169173,0.0005398025,0.0002113417],"domain_scores_gemma":[0.9976361,0.001478227,0.0000787924,0.0003410075,0.0004150017,0.00005081973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005649832,0.0004801063,0.0005864517,0.0009687081,0.000101054,0.0002180278,0.0004037533,0.2347071,0.03330165,0.1596021,0.01359928,0.5554668],"study_design_scores_gemma":[0.0001407077,0.00008363748,0.0001458813,0.00005857483,0.00006471553,0.0001175822,0.00008473628,0.8747015,0.01854808,0.09752741,0.008504368,0.00002279187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009045248,0.0001606139,0.9813226,0.0001957404,0.00004839301,0.0001174715,0.00008690727,0.001275207,0.007747782],"genre_scores_gemma":[0.2317753,0.0002656284,0.7584202,0.000191664,0.00003686229,0.0001424394,0.0004159707,0.0005170496,0.008234884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01387568,"threshold_uncertainty_score":0.04641873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872134792203278,"score_gpt":0.2991227532607629,"score_spread":0.2704014053387301,"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."}}