{"id":"W4412934941","doi":"10.1007/s00236-025-00495-x","title":"Novel tree-search method for synthesizing SMT strategies","year":2025,"lang":"en","type":"article","venue":"Acta Informatica","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Alliance de recherche numérique du Canada; Georg-August-Universität Göttingen","keywords":"Computer science; Theory of computation; Tree (set theory); Search tree; Theoretical computer science; Programming language; Parallel computing; Search algorithm; Mathematics; Combinatorics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001258939,0.001033788,0.0006907267,0.001286382,0.000446145,0.001044203,0.001297884,0.001081083,0.01100072],"category_scores_gemma":[0.005354581,0.0005760792,0.001226267,0.0009693312,0.000855341,0.001119302,0.001347464,0.001114475,0.002022506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049429,"about_ca_system_score_gemma":0.002754979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00355138,"about_ca_topic_score_gemma":0.006956123,"domain_scores_codex":[0.9990507,0.0002722864,0.00007103975,0.0001739541,0.0003333749,0.00009878878],"domain_scores_gemma":[0.9981981,0.001240635,0.0001105646,0.0001480463,0.0002434512,0.00005920041],"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":[0.0002160064,0.0001406432,0.001794697,0.0005381597,0.000093549,0.0002778265,0.0002296288,0.5115232,0.01214351,0.0800471,0.008295622,0.3847],"study_design_scores_gemma":[0.0000470312,0.00004047451,0.00006047306,0.00002915798,0.00001542858,0.00004289021,0.00002295163,0.9787724,0.002669837,0.01446859,0.003824124,0.000006631258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008179506,0.0001524617,0.9846814,0.0001257962,0.00003424046,0.0001347632,0.0001574274,0.002023056,0.004511354],"genre_scores_gemma":[0.1305401,0.0001269184,0.8659161,0.0001386424,0.00001700867,0.0002394946,0.000451588,0.0005543751,0.002015726],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01100072,"threshold_uncertainty_score":0.0368011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024586843626352,"score_gpt":0.3359139184326752,"score_spread":0.3056680499964117,"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."}}