{"id":"W4414276204","doi":"10.5753/sast.2025.13826","title":"Detecção de Conflitos Semânticos com Testes Gerados por LLM","year":2025,"lang":"pt","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Merge (version control)","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":[0.006745229,0.001645886,0.001257872,0.002977653,0.002242504,0.006164077,0.002996523,0.002171589,0.007739704],"category_scores_gemma":[0.03029377,0.001524793,0.002036133,0.002547754,0.00283415,0.01197319,0.007585152,0.003691602,0.003268827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002893411,"about_ca_system_score_gemma":0.004756599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008601972,"about_ca_topic_score_gemma":0.01194736,"domain_scores_codex":[0.9913567,0.001365832,0.0008440919,0.00148413,0.004204859,0.0007444952],"domain_scores_gemma":[0.9783226,0.006733987,0.001444098,0.007398892,0.005352527,0.0007479218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001985651,0.0004747408,0.04092876,0.003447881,0.0004699343,0.00235844,0.01207637,0.02260093,0.0843778,0.1255335,0.04582364,0.6599222],"study_design_scores_gemma":[0.0002080956,0.000603162,0.01199586,0.001253372,0.0005700045,0.001912512,0.005762673,0.1730354,0.247284,0.1248709,0.43217,0.0003340497],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1356696,0.003895726,0.7648528,0.00322181,0.0009082152,0.0008543113,0.002825625,0.05769759,0.03007434],"genre_scores_gemma":[0.4519054,0.001288932,0.5046812,0.00149282,0.0001930501,0.0007423081,0.004776653,0.008861135,0.02605837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008601972,"threshold_uncertainty_score":0.03567261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318122068552407,"score_gpt":0.3002464998347447,"score_spread":0.2770652791492206,"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."}}