{"id":"W2140069011","doi":"10.1109/apsec.2009.38","title":"Describing Pattern Languages for Checking Design Models","year":2009,"lang":"en","type":"article","venue":"","topic":"Software Engineering and Design Patterns","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Rotation formalisms in three dimensions; Software design pattern; Pattern language (formal languages); Design pattern; Natural language processing; Structural pattern; Specification pattern; Artificial intelligence; Modeling language; Programming language; Formalism (music); Software design; Software development; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004508847,0.00007409751,0.00008592747,0.00004420137,0.0001929658,0.00007505232,0.0001319267,0.00005770513,0.00004675041],"category_scores_gemma":[0.0001710662,0.00007052546,0.00004809841,0.0000805993,0.00001498858,0.000169716,0.000004928962,0.00004449329,0.000007993541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004040348,"about_ca_system_score_gemma":0.0000405766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003658344,"about_ca_topic_score_gemma":0.00003523996,"domain_scores_codex":[0.9993098,0.00003723277,0.0000906089,0.0001391089,0.0001411089,0.0002820811],"domain_scores_gemma":[0.9995404,0.0002196607,0.00001961964,0.0000904014,0.00003752636,0.00009236413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002457013,0.0001062802,0.001840457,0.0000184447,0.00003804474,0.0000195413,0.04410866,0.03324912,0.001765713,0.03988772,0.01330843,0.865633],"study_design_scores_gemma":[0.007340477,0.002036564,0.006963994,0.001378817,0.0003306519,0.00002467335,0.06509708,0.6461785,0.04443029,0.190461,0.0286499,0.007107993],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003611194,0.00009749698,0.989298,0.0004581393,0.00009333782,0.0002172839,0.000001296891,0.0004487965,0.00577448],"genre_scores_gemma":[0.9705292,0.00000973101,0.02770182,0.0006685145,0.0002271095,0.00001482581,0.000001487446,0.000009130214,0.0008382102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.966918,"threshold_uncertainty_score":0.2875945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1461066763531816,"score_gpt":0.3344961309231992,"score_spread":0.1883894545700177,"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."}}