{"id":"W1582789180","doi":"10.1002/spe.1155","title":"Model‐driven rapid prototyping with Umple","year":2011,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; University of Ottawa","funders":"","keywords":"Computer science; Focus (optics); Interface (matter); Rapid prototyping; Process (computing); User interface; Class (philosophy); Point (geometry); Human–computer interaction; Software engineering; Modeling language; Software; Engineering; Programming language; Operating system; 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":[0.0002080159,0.000216954,0.000174999,0.00008701961,0.0001890437,0.0001266589,0.0007038561,0.00007544566,0.00001274575],"category_scores_gemma":[0.00008547668,0.0001865227,0.00002816641,0.0002844906,0.0001153317,0.0030737,0.000319955,0.0002246862,0.000009824988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003058544,"about_ca_system_score_gemma":0.00008257043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007535895,"about_ca_topic_score_gemma":0.000002793388,"domain_scores_codex":[0.9985358,0.00004542436,0.0001938633,0.0005698864,0.0002919817,0.0003631164],"domain_scores_gemma":[0.9987507,0.00009493007,0.0001235773,0.0007153171,0.0001615862,0.0001538426],"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":[0.0002649102,0.0004306117,0.004813092,0.0001491156,0.00008593306,0.0002905263,0.1692862,0.0008127383,0.0006534391,0.2421579,0.0004174979,0.5806381],"study_design_scores_gemma":[0.001744891,0.002748065,0.002327967,0.0006544202,0.00009821951,0.0019574,0.001501613,0.6390229,0.02734174,0.01131154,0.3074822,0.003809117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006741452,0.0002334708,0.9906338,0.0001274673,0.00005048865,0.0004230399,0.000001111801,0.001259578,0.0005295277],"genre_scores_gemma":[0.1906262,0.0001185277,0.808503,0.0003432497,0.00001455655,0.0003468398,6.505185e-7,0.00001870542,0.00002824415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6382101,"threshold_uncertainty_score":0.7606173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04127787218107686,"score_gpt":0.2631958965107642,"score_spread":0.2219180243296873,"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."}}