{"id":"W2036563796","doi":"","title":"2nd UML 2 semantics symposium: Formal semantics for UML","year":2007,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Unified Modeling Language; Computer science; Formal semantics (linguistics); Conjunction (astronomy); Programming language; Semantics (computer science); Action semantics; Operational semantics; Applications of UML; Software engineering; Denotational semantics; Software","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":[0.0007645455,0.0002254657,0.0002212784,0.0001787618,0.0001231134,0.0001291475,0.0009680096,0.0001470213,0.000005937629],"category_scores_gemma":[0.00001014569,0.0002130427,0.0001189834,0.0002788367,0.00003214583,0.0006589884,0.0003638997,0.0001485178,0.00001522046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000623973,"about_ca_system_score_gemma":0.00003798532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000170946,"about_ca_topic_score_gemma":0.0000213609,"domain_scores_codex":[0.9982596,0.000009118046,0.0003615982,0.0003782153,0.0003082291,0.0006832136],"domain_scores_gemma":[0.9987246,0.0001035219,0.0000763432,0.0007749271,0.0001712712,0.0001493374],"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":[0.000007751823,0.00006982069,0.0005301879,0.00009964285,0.00002644332,0.00002059432,0.0003793966,0.0007894981,0.001988071,0.9359731,0.005388995,0.05472649],"study_design_scores_gemma":[0.0004204562,0.0002462753,0.0003725561,0.00005038124,0.00001832094,0.00006439418,0.000004085523,0.8056502,0.05101385,0.003890154,0.1376809,0.0005883157],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00211873,0.00002410941,0.9933686,0.000764985,0.0004389914,0.0004180886,0.000003436256,0.001916257,0.0009467469],"genre_scores_gemma":[0.2235001,0.00001552325,0.7753608,0.0002536,0.0001094401,0.00001755222,0.000004085869,0.00002563529,0.0007132174],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.932083,"threshold_uncertainty_score":0.8687631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142021919075976,"score_gpt":0.254784942735119,"score_spread":0.2433647235443592,"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."}}