{"id":"W2092758480","doi":"10.1007/s10270-014-0399-z","title":"An executable formal semantics for UML-RT","year":2014,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Programming language; Applications of UML; Unified Modeling Language; Formal semantics (linguistics); UML tool; Object Constraint Language; Operational semantics; Denotational semantics; Semantics (computer science); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002562623,0.0003683774,0.0006000568,0.0001988457,0.0005295633,0.0009675543,0.001478501,0.0002233399,0.00000115701],"category_scores_gemma":[0.0002153051,0.0003528006,0.0001784788,0.0002978056,0.00002013762,0.00280174,0.0002204568,0.000196334,0.00005369805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145783,"about_ca_system_score_gemma":0.0001453031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005718943,"about_ca_topic_score_gemma":0.0000150371,"domain_scores_codex":[0.9964223,0.0001894777,0.0008944478,0.0008675658,0.0005982236,0.001027967],"domain_scores_gemma":[0.9972033,0.0002109031,0.0002934581,0.001543346,0.0004448524,0.0003041709],"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":[0.00000988733,0.00004516321,0.000746293,0.0005418119,0.00003485861,0.000003459245,0.001004084,0.9646148,0.0008646162,0.02452237,0.000157067,0.007455586],"study_design_scores_gemma":[0.0004753202,0.0001425862,0.000004693805,0.0002825375,0.00001739942,0.00006993103,0.0001984968,0.9960626,0.0001221453,0.001331446,0.000842114,0.0004507703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02811455,0.0002843497,0.9673068,0.00004941525,0.002031856,0.0008783865,0.000006856558,0.001110205,0.000217616],"genre_scores_gemma":[0.7715825,0.000002614327,0.2273536,0.00005881916,0.0006358058,0.0001397655,0.00001469548,0.00005933187,0.0001528565],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7434679,"threshold_uncertainty_score":0.9998924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070657615113778,"score_gpt":0.2578143589089094,"score_spread":0.2371077827577716,"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."}}