{"id":"W3145802419","doi":"10.1109/mise.2012.6226012","title":"Avestan: A declarative modeling language based on SMT-LIB","year":2012,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Programming language; Satisfiability modulo theories; Natural language processing; Artificial intelligence","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":[0.0002558974,0.0001472289,0.0001219324,0.0001169322,0.00004610026,0.00005615168,0.0004901311,0.00006404212,0.00002490636],"category_scores_gemma":[0.00000965733,0.0001267885,0.00005089584,0.0002020103,0.00001037676,0.0004600408,0.0001079235,0.0001461951,0.00005436103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006516423,"about_ca_system_score_gemma":0.00002718305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002113436,"about_ca_topic_score_gemma":0.00000161412,"domain_scores_codex":[0.9990374,0.00003756726,0.00013178,0.0002268733,0.0002425651,0.0003237666],"domain_scores_gemma":[0.9991538,0.00005195401,0.00002501887,0.0006044444,0.00003656899,0.000128193],"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":[0.000008645709,0.0002032277,0.0004222538,0.00002130319,0.000015525,0.00001814909,0.004055131,0.1656114,0.001243705,0.7875153,0.001179695,0.03970562],"study_design_scores_gemma":[0.00009188327,0.00004110663,0.00004125357,0.00002064798,0.000001740887,0.000002546491,0.000005414166,0.9921324,0.005438048,0.0002460296,0.001808282,0.0001706748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006277023,0.00005079049,0.9887331,0.0001550244,0.0001091879,0.0001296615,0.000001253332,0.001587913,0.002956086],"genre_scores_gemma":[0.5059254,6.507816e-7,0.4936059,0.0003118976,0.00003173025,0.00001694364,0.000001110091,0.00000899904,0.00009729052],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.826521,"threshold_uncertainty_score":0.5170283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028181584417256,"score_gpt":0.2584274979695296,"score_spread":0.2381456821253571,"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."}}