{"id":"W1159839731","doi":"10.1515/acss-2014-0011","title":"BrainTool v2.0 for Software Modeling in UML","year":2014,"lang":"en","type":"article","venue":"Applied Computer Systems","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Unified Modeling Language; Software engineering; UML tool; Class diagram; Software development; Use Case Points; Software system; Applications of UML; Programming language; Use Case Diagram; Domain (mathematical analysis); Software; Systems engineering; Engineering","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":[0.0007447832,0.0002848796,0.0004314477,0.000241511,0.0000727234,0.0002480827,0.001321641,0.0001546649,3.968624e-7],"category_scores_gemma":[0.000005745913,0.0002942818,0.00008701027,0.0002848291,0.00001428814,0.0002225172,0.0003525797,0.0001797057,0.00001943933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061241,"about_ca_system_score_gemma":0.00003293927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005212492,"about_ca_topic_score_gemma":0.000003920375,"domain_scores_codex":[0.9979551,0.00004899583,0.0005139229,0.000706514,0.0002782727,0.0004972343],"domain_scores_gemma":[0.9985483,0.0001439957,0.0001004836,0.001014559,0.0000842883,0.0001083316],"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":[0.000003417462,0.00002594925,0.0000374682,0.0001230603,0.00001178553,0.000001780432,0.0003210006,0.3498732,0.00005263484,0.4719031,0.001086082,0.1765605],"study_design_scores_gemma":[0.0004056075,0.00005368895,0.00001631696,0.00009328053,0.000002411298,0.00001074862,9.091019e-7,0.9800948,0.00007243209,0.002591889,0.01631755,0.0003403813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000926793,0.0000461995,0.995,0.00005562511,0.001077341,0.000938286,0.000002094416,0.001834865,0.0001187884],"genre_scores_gemma":[0.3962601,9.320931e-7,0.6027735,0.0001267081,0.000374731,0.0004118207,0.000005018557,0.00003010417,0.00001711452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6302216,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183969362945099,"score_gpt":0.2142342325620074,"score_spread":0.1958372962674975,"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."}}