{"id":"W4403427009","doi":"10.5753/sblp.2024.3471","title":"Semantic conflict detection via dynamic analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer science; Artificial intelligence; Information retrieval; Natural language processing","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":[0.005675476,0.001907213,0.001115012,0.01011147,0.001269058,0.003768468,0.002496571,0.001607573,0.002522856],"category_scores_gemma":[0.0349385,0.0008755591,0.001467181,0.004082812,0.001634403,0.004858256,0.005259498,0.002057449,0.0009664053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393609,"about_ca_system_score_gemma":0.002537535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003322726,"about_ca_topic_score_gemma":0.003181029,"domain_scores_codex":[0.9812374,0.004429575,0.001262087,0.00332835,0.008600805,0.001141849],"domain_scores_gemma":[0.9704255,0.01513987,0.004179745,0.003998793,0.005769365,0.0004866242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001081597,0.0006365986,0.07599933,0.001372394,0.0005919678,0.003186547,0.004137724,0.06365728,0.07506929,0.04395213,0.01233075,0.7179844],"study_design_scores_gemma":[0.00007923055,0.0002405246,0.01304472,0.0003327279,0.0003542266,0.002412419,0.00146223,0.7800102,0.0973518,0.06871833,0.03575471,0.000238932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1063879,0.000901298,0.8661084,0.0005934596,0.0001187705,0.0003640281,0.00146469,0.0161488,0.007912655],"genre_scores_gemma":[0.6274065,0.0003488875,0.365121,0.0003014378,0.00006185017,0.0004008033,0.003187386,0.001500486,0.001671643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01011147,"threshold_uncertainty_score":0.03001517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176184305032444,"score_gpt":0.274519036368925,"score_spread":0.2627571933186005,"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."}}