{"id":"W4225878264","doi":"10.1109/tse.2022.3162985","title":"Static Profiling of Alloy Models","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Correctness; Modeling language; Natural language processing; Profiling (computer programming); Matching (statistics); Programming language; Software; Artificial intelligence; Data science; Software engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003327317,0.0001859391,0.0002123019,0.0004756173,0.0001610847,0.00003575176,0.0008081659,0.00003798032,0.00004313539],"category_scores_gemma":[0.00005931165,0.000222741,0.0001186513,0.0009275086,0.00001567581,0.0003603566,0.00001724042,0.0005554723,0.000007668086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001922422,"about_ca_system_score_gemma":0.00009769243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001461338,"about_ca_topic_score_gemma":3.134955e-7,"domain_scores_codex":[0.9982333,0.00003783655,0.0002926785,0.000358789,0.0006903711,0.0003870725],"domain_scores_gemma":[0.9984485,0.000719537,0.00004353283,0.0006092387,0.00006795907,0.0001112341],"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":[0.000005550107,0.00007478189,0.00003194038,0.00006497886,0.00003568533,0.00001342396,0.0003143309,0.9947897,0.00151092,0.0005905847,0.000029,0.002539138],"study_design_scores_gemma":[0.0003056713,0.0001763716,0.00007599926,0.00002963202,0.00000850344,0.00003085882,0.00002855477,0.9617394,0.03705144,0.0001049101,0.0001727233,0.0002759134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03074111,0.00004942201,0.9671638,0.00003177577,0.0007809006,0.0002249441,0.00002979383,0.0009721364,0.000006126553],"genre_scores_gemma":[0.7812342,0.000005727012,0.2184355,0.00002340988,0.00001137032,0.0001877368,0.000001385181,0.00003797172,0.00006276525],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.750493,"threshold_uncertainty_score":0.9083116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111579023518419,"score_gpt":0.2370040407203812,"score_spread":0.215888250485197,"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."}}