{"id":"W4297924730","doi":"10.1007/978-3-031-16078-3_49","title":"A Deep Learning Approach to UML Class Diagrams Discovery from Textual Specifications of Software Systems","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Software Engineering Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Computer science; Class diagram; Programming language; Unified Modeling Language; Artificial intelligence; Class (philosophy); Natural language processing; Natural language; Software engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000600778,0.000466372,0.0008867306,0.000390645,0.0001656271,0.0005305785,0.001122891,0.000476046,0.000008065514],"category_scores_gemma":[0.0004111931,0.0004361999,0.00013372,0.0003771883,0.00007140174,0.0001842997,0.0006515929,0.001531698,0.000004407492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002581664,"about_ca_system_score_gemma":0.00007114506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005641958,"about_ca_topic_score_gemma":0.00005146532,"domain_scores_codex":[0.9968095,0.0001790169,0.000711341,0.001015874,0.0007762502,0.0005079535],"domain_scores_gemma":[0.9954953,0.002921758,0.0002812913,0.001026136,0.0001026522,0.0001728329],"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":[0.00000907611,0.00002179496,0.001419091,0.0001801339,0.00008191913,0.00001833127,0.0005547625,0.9632893,0.000003218926,0.02455113,0.00008366948,0.009787636],"study_design_scores_gemma":[0.0002503951,0.0001475782,0.0008857393,0.0007576874,0.00002496264,0.00003936222,0.00003786125,0.9741067,6.673376e-7,0.0003948012,0.02265037,0.000703891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001501645,0.0213679,0.9738986,0.00002825275,0.001206836,0.0009607589,0.00003397824,0.0001901621,0.002163365],"genre_scores_gemma":[0.9904341,0.0004978291,0.003815818,0.00002410166,0.001116619,0.0003113441,0.0001989553,0.0001239766,0.003477295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9902839,"threshold_uncertainty_score":0.999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264790431789706,"score_gpt":0.2255395771442284,"score_spread":0.1990605339652578,"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."}}