{"id":"W1907740091","doi":"","title":"Incremental Construction of Millstream Configurations Using Graph Transformation","year":2011,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Graph rewriting; Sentence; Lexicon; Graph; Transformation (genetics); Artificial intelligence; Natural language processing; Model transformation; Theoretical computer science","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":[0.00006930979,0.0000625754,0.00007193159,0.0001245663,0.00003465911,0.00001062797,0.0001750581,0.00003499848,0.0000303399],"category_scores_gemma":[8.929088e-7,0.00006137739,0.00003435263,0.0001722576,0.00003645869,0.0005401588,0.00001842687,0.00003721514,0.000001308112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002010523,"about_ca_system_score_gemma":0.00001904318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001804759,"about_ca_topic_score_gemma":0.000002793865,"domain_scores_codex":[0.9995201,0.00001325794,0.0001886879,0.00009469972,0.0001056675,0.00007764292],"domain_scores_gemma":[0.9996725,0.000005413654,0.00005060184,0.0001804362,0.00006528939,0.00002580152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000015905,0.00002762509,0.0003212378,0.0000132231,0.00001099794,3.803291e-7,0.001294463,0.0001069792,0.02841559,0.9435427,0.00001554096,0.02624968],"study_design_scores_gemma":[0.0001799758,0.00007839758,0.001264352,0.00002919016,0.000009625721,0.00004175563,0.00003798103,0.1217392,0.8694161,0.006803025,0.0002382016,0.0001621527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06873148,0.000004439436,0.9292535,0.000009199541,0.00007430188,0.0001081191,0.000002901785,0.0003083076,0.001507811],"genre_scores_gemma":[0.4896735,0.000002331361,0.5103094,0.000005492363,0.000002288457,0.000002820274,0.000001363895,0.000001816776,9.8817e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9367397,"threshold_uncertainty_score":0.2502897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03711686451299607,"score_gpt":0.2318825934927286,"score_spread":0.1947657289797325,"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."}}