{"id":"W1487875674","doi":"","title":"Slicing uml's three-layer architecture: a semantic foundation for behavioural specification","year":2009,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology","keywords":"Computer science; Applications of UML; UML tool; Programming language; Unified Modeling Language; Object Constraint Language; Executable; Software engineering; Software","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":[0.007354646,0.001053249,0.0006911225,0.00209006,0.0008974429,0.003374386,0.001562939,0.001477739,0.001711047],"category_scores_gemma":[0.006257573,0.001040814,0.002295583,0.001368197,0.003987808,0.005637756,0.002301186,0.002291749,0.001020028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002256377,"about_ca_system_score_gemma":0.004212187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0084349,"about_ca_topic_score_gemma":0.005960653,"domain_scores_codex":[0.9963405,0.001498179,0.0004091116,0.0003352425,0.001185293,0.0002318349],"domain_scores_gemma":[0.9970101,0.0009889766,0.0003260271,0.0008487639,0.0006819918,0.0001441401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002707162,0.00001795151,0.0003187874,0.0001325571,0.00002368124,0.000157278,0.001444292,0.01076413,0.004309199,0.9443834,0.001572895,0.0368489],"study_design_scores_gemma":[0.00003483881,0.00005993772,0.0003154564,0.0002762459,0.00005946373,0.0002060871,0.000217693,0.09566439,0.008226003,0.7889674,0.1059004,0.00007222082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001589169,0.0002610534,0.9945828,0.0002882026,0.00003585586,0.00005578066,0.00006479413,0.0005906027,0.00253181],"genre_scores_gemma":[0.04439008,0.0006893901,0.9521822,0.0002061223,0.00005193697,0.0002030812,0.0003143749,0.0002791805,0.001683562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0084349,"threshold_uncertainty_score":0.03889555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620490128263529,"score_gpt":0.2051841477739822,"score_spread":0.1889792464913469,"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."}}