{"id":"W1581900214","doi":"10.1007/11814948_33","title":"Binary Clause Reasoning in QBF","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"DPLL algorithm; Computer science; Binary number; Binary decision diagram; Boolean satisfiability problem; Fragment (logic); True quantified Boolean formula; Resolution (logic); Context (archaeology); Inference; Binary tree; Theoretical computer science; Algorithm; Mathematics; Artificial intelligence; Arithmetic","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":[0.00399604,0.0007586827,0.0008475617,0.001459958,0.001272884,0.003522787,0.002683083,0.001658499,0.01663852],"category_scores_gemma":[0.008727079,0.001168794,0.001788627,0.002320817,0.003645767,0.01030417,0.00235823,0.004327662,0.002566891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002724893,"about_ca_system_score_gemma":0.001449051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005917649,"about_ca_topic_score_gemma":0.004863287,"domain_scores_codex":[0.9966909,0.001313805,0.0002269521,0.0003712274,0.0011479,0.0002492895],"domain_scores_gemma":[0.9961911,0.002988626,0.00008405746,0.000372984,0.0003108364,0.00005238285],"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":[0.00004672317,0.000037955,0.00007739541,0.0001826474,0.00001577442,0.00006272216,0.0002137417,0.007790375,0.0007980014,0.9361187,0.004138512,0.05051755],"study_design_scores_gemma":[0.00002844327,0.000006737673,0.00003245289,0.00005234972,0.00001666593,0.00003667133,0.00003962995,0.02866843,0.001470702,0.9607217,0.00891555,0.00001063627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005491211,0.0008727485,0.9597837,0.00127078,0.0001506824,0.0001169948,0.0002152068,0.000958517,0.03114018],"genre_scores_gemma":[0.2464736,0.00198803,0.7221521,0.0007528075,0.0002664805,0.0003079085,0.001264618,0.0006423917,0.02615202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01663852,"threshold_uncertainty_score":0.05566138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207398825870749,"score_gpt":0.2750306988911787,"score_spread":0.2529567106324712,"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."}}