{"id":"W2152846401","doi":"10.1109/icse.2007.50","title":"Matching and Merging of Statecharts Specifications","year":2007,"lang":"en","type":"article","venue":"Proceedings/Proceedings - International Conference on Software Engineering","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":249,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Merge (version control); Computer science; Matching (statistics); Operator (biology); Theoretical computer science; Construct (python library); Semantics (computer science); Heuristic; Pattern matching; Programming language; Data mining; Artificial intelligence; Information retrieval; Mathematics","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":[0.008899646,0.0007999396,0.0008222579,0.002814012,0.0009415559,0.002945572,0.002505159,0.001659773,0.00341196],"category_scores_gemma":[0.0266482,0.001138989,0.002635683,0.002344937,0.00171014,0.00508988,0.003606487,0.001233524,0.0006689927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184299,"about_ca_system_score_gemma":0.002752137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005347039,"about_ca_topic_score_gemma":0.00474228,"domain_scores_codex":[0.9911655,0.002879631,0.00109947,0.001057191,0.00326519,0.000532972],"domain_scores_gemma":[0.9882619,0.006117818,0.001313469,0.00253391,0.001537019,0.0002358926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004837122,0.0003103482,0.009078542,0.0008295739,0.0003409311,0.001529681,0.004620485,0.1698335,0.03229668,0.4338523,0.005516784,0.3413074],"study_design_scores_gemma":[0.00008633782,0.0002729019,0.001707145,0.0002336349,0.000231951,0.0004312554,0.000752943,0.6302747,0.07253521,0.2444072,0.04891231,0.0001543903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01576601,0.00006551199,0.9789882,0.00009728083,0.0000266998,0.0001611668,0.0002404633,0.003316887,0.001337843],"genre_scores_gemma":[0.2145602,0.0001860247,0.7805399,0.000129749,0.00002567857,0.0003597067,0.001771808,0.0007568339,0.001670098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008899646,"threshold_uncertainty_score":0.04706639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240713619088242,"score_gpt":0.2458846846874281,"score_spread":0.2218133227786039,"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."}}