{"id":"W2080020983","doi":"10.5555/1929101.1929122","title":"A common framework for synchronization in requirements modelling languages","year":2010,"lang":"en","type":"article","venue":"Model Driven Engineering Languages and Systems","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Synchronization (alternating current); Computer science; Arity; Workflow; Parameterized complexity; Theoretical computer science; Distributed computing; Programming language; Algorithm; Mathematics; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003544758,0.0001680602,0.0002479251,0.0001483762,0.0000448058,0.0001038674,0.0003149391,0.0001358114,2.554371e-7],"category_scores_gemma":[0.0002148569,0.0001660591,0.00003194273,0.0001524342,0.0000120806,0.0002789106,0.00009393306,0.0002464615,5.268517e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003563666,"about_ca_system_score_gemma":0.00001259979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003484737,"about_ca_topic_score_gemma":0.000007188153,"domain_scores_codex":[0.9990284,0.00002069634,0.0002296994,0.0003008463,0.0001283565,0.0002919928],"domain_scores_gemma":[0.9991309,0.0003595907,0.00005433765,0.0003617973,0.00003430227,0.0000590875],"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":[0.000001376022,0.000007075929,0.0001344,0.0001261142,0.000006900656,0.000005849173,0.0007596725,0.9341354,0.002019979,0.06131675,0.000002391244,0.001484136],"study_design_scores_gemma":[0.0001513347,0.00001762208,0.00005616492,0.0001462102,0.000003248409,0.000007822235,0.00007265341,0.9972994,0.000151875,0.00188202,0.00002337248,0.0001882987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04625444,0.0007662377,0.9519494,0.00002923319,0.0003346039,0.0002811052,0.000004905008,0.0003668746,0.00001322589],"genre_scores_gemma":[0.5277783,0.00001609739,0.47206,0.00000609437,0.00004916418,0.00005336841,0.00000339182,0.0000166361,0.00001696974],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4815238,"threshold_uncertainty_score":0.6771693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0360990788955775,"score_gpt":0.319069259046096,"score_spread":0.2829701801505185,"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."}}